Next Article in Journal
Policy and Financial Implications of Net Energy Metering in Arctic Power Systems: A Case Study of Alaska’s Railbelt
Previous Article in Journal
The Road to Decarbonization—The Case of the Polish Passenger Car Market
Previous Article in Special Issue
Risk-Constrained Optimization Framework for Generation and Transmission Maintenance Scheduling Under Economic and Carbon Emission Constraints
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

De-Risking the Transition: Quantifying the Security and Economic Value of Dynamic Dispatch and Integrated BESS–Interconnection Strategies for Egypt’s High-Renewable Grid

Department of Energy Policy and Engineering, KEPCO International Nuclear Graduate School (KINGS), 658-91 Haemaji-ro, Seosaeng-myeon, Ulju-gun, Ulsan 45014, Republic of Korea
*
Author to whom correspondence should be addressed.
Energies 2026, 19(3), 786; https://doi.org/10.3390/en19030786
Submission received: 16 November 2025 / Revised: 15 January 2026 / Accepted: 16 January 2026 / Published: 2 February 2026
(This article belongs to the Special Issue Energy Policies and Energy Transition: Strategies and Outlook)

Abstract

Achieving Egypt’s 2035 renewable electricity targets presents substantial operational and institutional challenges, compounded by limited electricity trade across the Middle East and North Africa (MENA) region. This study applies a PLEXOS-based simulation framework that integrates short-term economic dispatch with the Projected Assessment of System Adequacy (PASA) to evaluate the system-level impacts of economically dispatched cross-border interconnections with Saudi Arabia, Libya, Jordan, and Sudan. The analysis also incorporates domestic flexibility measures, including five-minute dispatch, dynamic reserve requirements, and battery energy storage systems (BESS). Scenarios with renewable energy penetration levels of up to 50% are assessed using Egypt’s 2023 power system as the baseline. The results demonstrate that transitioning from a static, hourly, standalone operating framework to an integrated flexibility configuration—combining five-minute dispatch, 8 GW of economically dispatched cross-border interconnection capacity, and 8 GWh of BESS—yields substantial system-wide benefits at 50% renewable penetration. Loss-of-Load Probability declines from 96.48% to zero, ensuring full system adequacy, while total operational costs decrease by more than 45%, corresponding to annual savings of approximately USD 1.04 billion. Renewable energy curtailment is reduced by over 98%, enabling nearly 15 TWh of additional clean electricity generation, and CO2 emissions fall by 11.6 million tons (≈40%). In addition, the operating-reserve shadow price—an indicator of reserve scarcity—declines to near zero, underscoring the effectiveness of coordinated regional dispatch and domestic flexibility in mitigating scarcity conditions. These findings provide robust evidence that integrated operational, temporal, and spatial flexibility can significantly accelerate renewable energy integration while strengthening system adequacy. The proposed framework offers an actionable and scalable blueprint for policy coordination and market reform in Egypt, with broader relevance for emerging power systems across the MENA region.

1. Introduction

1.1. Global Context

Energy security underpins socioeconomic development and remains a central objective of energy policy worldwide [1]. Although fossil fuels have historically dominated electricity supply, their finite availability, price volatility, and role as the primary source of greenhouse gas (GHG) emissions increasingly constrain sustainable development pathways [2]. The power sector alone accounts for approximately 41% of global CO2 emissions, placing electricity systems at the core of climate-mitigation strategies [3]. Consequently, improving energy efficiency and accelerating the deployment of renewable energy have become essential for achieving long-term sustainability and emissions-reduction targets [4].

1.2. Egypt’s Energy System, Policy Commitments

Egypt occupies a strategic position within the Middle East and North Africa (MENA) region and has committed to international emissions-reduction efforts under the Kyoto Protocol [5]. Empirical evidence confirms the mitigation potential of renewable energy in the region: Rahman et al. [6] estimate that a 1% increase in renewable energy consumption in MENA reduces emissions by 0.13%. Consistent with this evidence, Egypt’s Integrated Sustainable Energy Strategy targets 42.7% renewable electricity generation by 2035, following an interim target of 20% in 2022 [7]. Despite these ambitions, renewable energy accounted for only around 10% of installed capacity in 2023, revealing a persistent implementation gap [8].
By 2023, Egypt’s installed electricity capacity reached approximately 57,761 MW, of which nearly 90% was supplied by thermal power plants, with the remainder coming from hydro, wind, and solar resources [8]. The electricity sector in Egypt remains largely vertically integrated under the Egyptian Electricity Holding Company (EEHC), which oversees generation, transmission, and distribution (Figure 1). Supply shortages during 2010–2015—driven by fuel constraints, rapid demand growth, and aging infrastructure—exposed structural vulnerabilities and highlighted the need for greater operational flexibility. Although Electricity Law No. 87/2015 initiated market reforms, fossil fuels continue to dominate the generation mix, constraining both flexibility and environmental performance [9,10].
The installed capacity structure further reflects this dependence (Figure 2): combined-cycle units account for 54.3%, steam plants for 30.6%, and gas turbines for 4.8%, while hydro, solar PV, and wind together remain around 11% [8]. From a reliability perspective, Egypt continues to apply a deterministic reserve policy based on a fixed 15% margin above peak demand under the N-1 criterion, with system frequency maintained between 49.6 and 50.4 Hz [11]. Such static reserve rules fail to reflect the stochastic variability of wind and solar generation, leading to reserve over-procurement during stable periods and insufficient coverage during steep ramps. This imbalance increases fuel consumption, emissions, and operating costs while limiting renewable utilization, underscoring the need to transition toward dynamic, forecast-based reserve allocation.
To enhance system flexibility, Egypt is pursuing both regional interconnection and domestic storage initiatives. The country participates actively in the Eastern Africa Power Pool (EAPP) to facilitate reserve sharing and frequency support [12]. Existing and planned interconnections include Egypt–Jordan, Egypt–Libya, Egypt–Sudan, and the 3-GW HVDC link with Saudi Arabia, alongside the proposed 2-GW Euro–Africa Interconnector linking Africa and Europe [13,14,15]. Despite this physical expansion, cross-border electricity exchanges remain dominated by rigid bilateral contracts, limiting real-time flexibility and least-cost dispatch. At the domestic level, Egypt has launched a 1500-MWh battery energy storage system (BESS) program at Benban and Zafarana, signaling a strategic shift toward fast, non-fuel-based balancing resources.

1.3. Renewable Energy Potential and Integration Constraints

Global experience shows that variable renewable energy (VRE), primarily wind and solar, has accounted for more than 70% of new renewable capacity additions over the past decade [16]. Egypt possesses exceptional renewable resources, including high solar irradiation (2000–3200 kWh/m2 annually) and strong wind potential, particularly along the Gulf of Suez corridor [17,18,19,20]. Large-scale projects such as the 1650-MW Benban Solar Park and wind developments in Gabal El-Zeit and Ras Gharib illustrate this potential (Figure 3) [21]. Despite favorable resource conditions and expanding installed capacity, renewable energy still represents a modest share of Egypt’s electricity mix. This discrepancy reflects regulatory barriers, grid integration challenges, and operational inefficiencies rather than resource scarcity. Addressing these constraints requires improvements in dispatch mechanisms, reserve design, and coordinated transmission planning.

1.4. Operational Challenges Under High VRE Penetration

The inherent variability and limited predictability of wind and solar generation fundamentally alter power system operation. VRE fluctuations reshape net load profiles by lowering minimum demand levels and increasing both the frequency and magnitude of ramps. These dynamics force thermal units to operate near their minimum stable limits, intensifying cycling, reducing efficiency, and accelerating mechanical wear [22,23,24]. Empirical studies demonstrate that the interaction between VRE availability, load correlation, and system flexibility critically determines integration outcomes [25,26]. Consequently, traditional static reserve approaches are increasingly inadequate for power systems undergoing rapid renewable expansion, such as Egypt.

1.5. Flexibility as a System-Level Requirement

Power system flexibility, i.e., the ability to respond effectively to net load variability and uncertainty, has become essential for maintaining reliability in renewable-dominated grids [27]. Key flexibility sources include dispatchable generation, energy storage, and interconnections [28]. While thermal and hydropower plants provide baseline flexibility, fast-responding resources such as BESS offer critical support for frequency regulation and ramping [29,30,31]. At the regional scale, interconnections exploit geographic and temporal diversity, reducing renewable curtailment and the need for extensive storage deployment [32,33,34,35]. Importantly, the value of these resources depends on their coordinated deployment through dynamic reserves, sub-hourly dispatch, and economically dispatched cross-border exchanges—dimensions that remain insufficiently integrated in existing analyses of Egypt’s power system.

1.6. Research Gap and Contribution

Despite growing recognition of the importance of operational flexibility, most existing studies—particularly in the Egyptian context—assess flexibility options such as storage or interconnection in isolation and rely predominantly on long-term capacity-expansion models. These approaches often overlook short-term operational constraints, dynamic reserve requirements, and institutional dispatch mechanisms.
This study addresses these limitations by developing an Egypt-specific PLEXOS Short-Term Scheduling and Projected Assessment of System Adequacy (PASA) framework that integrates three complementary flexibility mechanisms: dynamic reserve sizing with reserve-scarcity pricing (VoRS), five-minute economic dispatch, and economically dispatched regional interconnections enabling up to 8000 MW of cross-border transmission, complemented by fast-response Li-ion BESS.
Relative to recent Egyptian PLEXOS-based studies, this framework delivers clear quantitative advances. Hamdi et al. [36] enhance operational realism by validating long-term planning outcomes through hourly unit commitment and economic dispatch to 2040, with flexibility primarily provided by pumped-hydropower storage and conventional thermal units. Their results show that 69.5% renewable generation can be accommodated, with curtailment reduced to approximately 1.2%, but they do not quantify reliability metrics such as Loss-of-Load Probability (LOLP) and remain constrained by hourly dispatch resolution and implicit reserve assumptions. El-Sayed et al. [37] adopt a long-term planning perspective to 2050, projecting extensive deployment of flexibility assets—including 21 GW of pumped-storage hydropower, 15 GW of hydrogen electrolyzers, and large-scale battery systems—under an 80% renewable target. While their framework quantifies capacity requirements, it does not report short-term operational metrics or evaluate BESS–interconnection interactions, limiting assessment of real-time system adequacy.
In contrast, this study evaluates short-term system operation under high-stress renewable conditions, with renewables representing 50% of installed capacity and supplying up to 82% of total electricity generation under least-cost economic dispatch and integrated flexibility. The proposed framework eliminates loss-of-load risk, reduces renewable curtailment by more than 15 TWh annually, lowers total system costs by approximately 45%, and cuts CO2 emissions by about 40%. These results demonstrate that coordinated operational and regional flexibility delivers superior reliability and economic performance.
By bridging operational planning and renewable-integration analysis, this study provides country-specific, policy-relevant evidence that integrated flexibility—combining dynamic reserves, sub-hourly dispatch, and market-based interconnection, complemented by fast-response Li-ion BESS—can accelerate renewable integration while strengthening system adequacy. The proposed framework is directly applicable to Egypt and offers a replicable blueprint for other emerging power systems pursuing high renewable penetration.
The remainder of this paper is organized as follows. Section 2 reviews the literature on operational reserves, dispatch granularity, interconnection, and energy storage in renewable-dominated power systems, with emphasis on Egypt and the MENA region. Section 3 describes the PLEXOS-based modeling framework, data inputs, and scenario design. Section 4 presents and discusses the results, evaluating generation mix evolution, reliability, curtailment, emissions, and system costs under alternative flexibility configurations. Section 5 concludes conclusion with key policy insights and institutional implications for Egypt and regional power system integration.

2. Literature Review

2.1. Operational Reserves in Renewable-Dominated Systems

Large-scale integration of VRE, particularly wind and solar, increases operational complexity due to stochastic variability and forecast uncertainty. These characteristics intensify ramping requirements, thermal unit cycling, and startup and shutdown events, reducing efficiency and accelerating asset degradation. In the Egyptian context, Hamdi et al. [36] show that insufficient operational flexibility leads to excessive thermal cycling and renewable curtailment even at moderate VRE penetration levels. Operating reserves, i.e., capacity held above demand to manage forecast errors and contingencies, therefore play a central role in maintaining reliability in renewable-dominated power systems [38,39].

2.1.1. Static Operation Reserve Approaches

Conventional reserve policies rely on deterministic rules, typically specified as fixed percentages of peak demand or constant megawatt blocks applied uniformly across operating conditions [40,41]. While administratively simple, these approaches disregard renewable variability and forecast uncertainty. Empirical evidence shows that static reserve formulations systematically over-procure reserves during stable periods and under-procure them during periods of high VRE variability, increasing operating costs and reliability risks [42,43]. As renewable penetration increases, deterministic reserve rules increasingly represent a structural limitation rather than an effective reliability mechanism.

2.1.2. Dynamic and Probabilistic Reserve Frameworks

To overcome the limitations of static reserve rules, many power systems have adopted dynamic reserve frameworks that link reserve procurement to forecast uncertainty and real-time system conditions. Mehrtash et al. [44] document that U.S. Independent System Operators (ISOs) apply baseline percentage-based reserve rules—typically around 1% of load for regulation and 3% for contingency reserves—reflecting a transition toward risk-informed reserve design. An international comparison by Milligan et al. [45] shows that North American systems typically maintain 3–5% of load as regulation reserves and approximately 6% for contingency, while European systems employ multi-tier reserve structures that adapt dynamically to system conditions.
Countries with high renewable penetration, including Spain, Ireland, Denmark, and the Netherlands, apply probabilistic and market-based reserve mechanisms that scale dynamically with uncertainty, typically between 2% and 10% of demand. These approaches preserve frequency stability while minimizing operating costs by expanding reserves during periods of high uncertainty and contracting them under stable conditions. Both theoretical and empirical studies confirm their effectiveness. Zhou and Botterud [46] show that co-optimized markets allocate reserves based on forecast-error distributions, while Lyon et al. [47] demonstrate that uncertainty-linked reserve pricing improves market efficiency. Varhegyi and Nour [48] further confirm that probabilistic reserve sizing enhances reliability in renewable-intensive systems. Collectively, this literature establishes dynamic, market-based reserve design as a cornerstone of efficient VRE integration.

2.2. Dispatch Interval Granularity and Reserve Requirements

Advances in market design and operational tools have enabled a shift from static to dynamic reserve frameworks through finer dispatch granularity. Traditional hourly scheduling requires reserves to cover extended imbalance windows—often approaching 90 min—leading to inflated reserve procurement [49]. In contrast, sub-hourly dispatch intervals, particularly five-minute scheduling, reduce imbalance exposure to approximately 10–15 min, thereby lowering regulation-reserve requirements while maintaining system reliability.
Empirical studies consistently demonstrate these benefits. Motalleb et al. [50] show that shorter dispatch intervals reduce total regulation requirements, while Billimoria et al. [51] find that sub-hourly redispatch enables higher renewable penetration at lower cost. The Australian National Electricity Market (NEM) illustrates this transition: the introduction of five-minute settlement in 2021 aligned pricing and dispatch intervals, improved valuation of fast-ramping resources, and reduced inefficiencies in reserve procurement [52]. Additional modeling studies confirm that finer dispatch granularity enhances real-time balancing and frequency control under high VRE variability [53,54,55].
Despite these international developments, Egypt’s system operation and planning frameworks remain largely based on hourly dispatch and static reserve rules. As a result, the system’s ability to manage short-term variability remains constrained. Adopting sub-hourly dispatch in combination with dynamic reserve frameworks therefore represents a critical prerequisite for improving operational efficiency and renewable integration in Egypt.

2.3. Cross-Border Interconnections and Energy Storage as Flexibility Resources

As the MENA region accelerates its transition toward renewable energy, enhancing system flexibility has become essential for maintaining reliability and cost efficiency. Two complementary strategies dominate the literature: BESS and regional interconnection.

2.3.1. Battery Energy Storage Systems (BESS)

Battery energy storage has emerged as a key source of fast-response flexibility in renewable-dominated systems. Unlike conventional thermal units, BESS can respond almost instantaneously, making them well suited for frequency regulation, ramping support, and reserve provision [56,57,58]. A growing body of literature confirms their techno-economic viability in ancillary-service markets.
Studies across diverse systems show that BESS participation improves system reliability and reduces operating costs. For example, Rancilio et al. [59] and Yu et al. [60] demonstrated profitable participation of BESS in reserve and balancing markets, while Maluenda et al. [61] showed that integrated PV–BESS systems enhance flexibility across energy and reserve services. System-level studies further confirm that BESS deployment reduces operational costs, renewable curtailment, ramping requirements, and emissions [62,63]. Nevertheless, most existing analyses evaluate storage in isolation rather than as part of an integrated flexibility portfolio with interconnection and dynamic dispatch.

2.3.2. Cross-Border Interconnections

Cross-border interconnections enable electricity exchange between national grids, providing access to geographically diverse resources and demand profiles. Numerous studies demonstrate that regional electricity trade reduces unserved energy, lowers variable generation costs, decreases ancillary-service requirements, and defers capital investment in generation assets [64,65,66]. At higher penetration levels, interconnections are widely recognized as cost-effective enablers of deep decarbonization and high-renewable systems [67,68,69].
Egypt occupies a strategic position within planned and existing MENA transmission corridors, with interconnections to Libya, Sudan, Jordan, and Saudi Arabia (Figure 4) [70]. These links benefit from time-zone differences and climatic diversity across the region [71]. However, their operational value remains underutilized due to reliance on rigid bilateral contracts rather than market-based economic dispatch. The absence of harmonized institutional and market frameworks limits real-time flexibility, co-optimized reserve sharing, and renewable curtailment mitigation across the region.
Macroeconomic Implications of Implementing Regional Interconnection Under Economic Dispatch (ED) in the MENA Region
Economically dispatched cross-border interconnections represent a practical transition toward fully coupled regional electricity markets, such as Nord Pool, even in the absence of formal market coupling. By replacing rigid bilateral contracts with marginal-cost-based power exchanges, ED improves system efficiency and builds the institutional foundation for deeper regional integration.
In the MENA region, interconnection offers a structural alternative to fossil-fuel subsidies, which distort price signals and impose long-term fiscal and environmental costs. Redirecting resources from subsidized thermal generation toward transmission infrastructure and renewable capacity improves system efficiency and fiscal sustainability. By establishing rational cost signals, the normalized model successfully demonstrates the strategic, market-driven benefits of interconnection, aligning with regional cooperation goals toward a Pan-Arab Electricity Market (PAEM) [72].
The region’s abundant solar and wind resources yield some of the lowest renewable generation costs globally. Interconnected MENA systems achieve lower LCOE levels (≈42–96 USD/MWh) than many European systems [73], confirming that interconnection is essential for cost-effective decarbonization.
Beyond cost reductions, regional interconnection mitigates the operational challenges of high VRE penetration by enabling real-time balancing across asynchronous demand profiles, geographic diversification of supply, and significant curtailment reduction. These system-level benefits position regional interconnection as a core enabler of high-renewable electricity systems in the MENA region, delivering affordable, reliable, and low-carbon power without sustained public subsidies.
Energy Transition Risks, Geopolitical Exposure, and Power System Resilience
Recent literature increasingly highlights that the pace and stability of the energy transition are shaped not only by renewable deployment but also by geopolitical risk and power system resilience. Fotis et al. [74] identify a “transition paradox” in Europe, showing that rapid expansion of wind and solar capacity without corresponding investments in grid flexibility and storage can increase system vulnerability. Using Greece as a case study, they demonstrate how insufficient operational readiness leads to renewable curtailment and amplifies exposure to external shocks, as observed during the Russia–Ukraine war when domestic grid constraints and cross-border dependencies transformed localized technical bottlenecks into broader economic and geopolitical risks.
At the global scale, Zhu et al. [75] provide empirical evidence that geopolitical instability delays energy transitions by increasing price volatility, disrupting energy supply chains, and undermining policy continuity. Their analysis of 41 countries over the period 2003–2021 shows that systems with stronger infrastructure, institutional capacity, and operational flexibility exhibit significantly higher resilience to geopolitical shocks.
These findings are consistent with IRENA [76], which emphasizes that energy security in renewable-dominated systems increasingly depends on infrastructure robustness; secure technology supply chains, and institutional readiness, rather than fuel availability alone.
Motivated by this literature, the present study addresses both internal and external flexibility challenges through an integrated operational framework. Internal flexibility is enhanced through the transition from static to dynamic reserve allocation and from hourly to five-minute economic dispatch, improving the system’s ability to manage short-term variability in renewable output and demand. External flexibility is introduced via market-based cross-border interconnection (CBI) operated under least-cost ED, enabling regional balancing and diversification of supply.
To explicitly address shared-infrastructure and geopolitical risks, the framework incorporates BESS sized under an N-4 contingency scenario, representing the simultaneous outage of all interconnection lines. This worst-case planning approach ensures the provision of critical system services—such as frequency regulation and reserve adequacy—even during complete interconnection failure. In this context, BESS functions not only as a reliability asset but also as a strategic buffer against external disruptions, linking operational resilience with geopolitical risk mitigation.

2.4. Previous Studies on Regional Interconnection in Egypt and the MENA Region

Extensive research has examined regional electricity trade in MENA, primarily through long-term policy or capacity-expansion models. While these studies consistently identify economic and environmental benefits from coordinated planning and transmission expansion, they generally lack short-term operational detail, dynamic reserve modeling, and high-resolution dispatch analysis. Table 1 summarizes representative studies and highlights the persistent gap between long-term planning insights and operational flexibility assessment.

2.5. Previous Studies on Egypt’s Power System

Egypt-specific studies have largely focused on long-term generation or transmission expansion rather than short-term operational flexibility. As summarized in Table 2, prior work rarely integrates dynamic reserves, sub-hourly dispatch, cross-border economic scheduling, and BESS within a unified operational framework. Consequently, the combined impacts of these flexibility measures on system reliability, curtailment, cost, and emissions remain insufficiently quantified for Egypt.

2.6. Synthesis and Gap

Overall, the literature demonstrates that dynamic reserves, sub-hourly dispatch, interconnection, and energy storage are individually effective in managing renewable variability. However, no study in the Egyptian context has examined their combined short-term operational impact using high-resolution, risk-informed dispatch modeling. This unresolved gap directly motivates the integrated PLEXOS-based framework developed in the present study.

3. Methodology

3.1. Analytical Framework and Scenario Design

This study evaluates the short-term operational adequacy and economic performance of the Egyptian power system under increasing levels of renewable penetration using the PLEXOS Short-Term (ST) operational model coupled with the Projected Assessment of System Adequacy (PASA) module. A comparative, scenario-based framework is employed to isolate the individual and combined impacts of dispatch resolution, reserve formulation, regional interconnection, and BESS on system reliability, cost, and flexibility. Scenarios are constructed by systematically varying four controlled dimensions:
  • Institutional configuration (standalone operation)
    Static versus dynamic reserve formulation
    Hourly versus five-minute dispatch resolution
  • Spatial and temporal flexibility (interconnected operation)
    Existing and ongoing regional interconnection capacity (4070 MW)
    Future configuration with 8000 MW of CBI combined with 8000 MWh of BESS
  • Renewable penetration level
    10%, 25%, 37%, 42%, and 50% of annual electricity generation
  • Reserve-sizing methodology
    Deterministic static reserves
    Probabilistic dynamic reserves
Cross-border power exchanges are optimized exclusively from the Egyptian system perspective using normalized fuel costs and technical constraints. The framework intentionally excludes joint optimization, market-based bidding, and coordinated market clearing across countries. Consequently, all efficiency gains arise purely from least-cost economic dispatch rather than bidding or strategic trading behavior. Figure 5 presents the modeling framework, and Table 3 summarizes the complete scenario matrix.

3.2. Data Collection and System Representation

This section describes the datasets used to represent the Egyptian power system in the PLEXOS simulation framework. Data collection is organized by system components, ensuring transparency, internal consistency, and reproducibility. All inputs correspond to 2023, which is selected as the reference-operating year due to the availability of verified system statistics.

3.2.1. Generation Fleet

This study models Egypt’s electricity system using 2023 as the reference year.
The generation fleet is derived from the EEHC Annual Report 2022–2023 [8], totaling 57,761 MW of installed capacity (Table 4).

3.2.2. Electricity Demand Assumptions

A fixed demand profile is applied across all scenarios to isolate the operational impacts of renewable penetration and flexibility mechanisms. Total annual consumption is 234,424 GWh, with a peak load of 35,000 MW.
Egypt’s diurnal load profile peaks during evening hours, when solar output is zero, resulting in negligible solar capacity credit and heightened ramping requirements for thermal units [36]. Figure 6 illustrates the diurnal load pattern.

3.2.3. Renewable Resource Profiles

Hourly renewable generation profiles are generated using the NREL System Advisor Model (SAM) [87] and capture both diurnal and seasonal variability.
  • Wind: Profiles from the Gulf of Suez, West Sohag, West Aswan, and Gabal El-Zeit reflect location-dependent generation patterns with substantial night-time output;
Solar photovoltaic (PV) and concentrated solar power (CSP): Profiles from Aswan exhibit pronounced daytime generation peaks with zero nocturnal output, consistent with regional solar irradiance characteristics and;
  • Hydropower is modeled in two categories. The High Dam (2100 MW) operates as a flexible peaking resource subject to seasonal energy constraints, while other Nile dams are represented as a continuous 723 MW baseload resource due to their limited storage capability [88].

3.2.4. Renewable Penetration Scenarios

Five renewable penetration levels are modeled. Hydropower capacity is held constant at 2832 MW, while solar PV, wind, and CSP capacities are adjusted to meet target shares (Table 5).

3.3. PLEXOS Modeling Framework

PLEXOS is an optimization-based production cost and market simulation tool capable of solving unit commitment (UC) and economic dispatch (ED) simultaneously [89]. The objective function minimizes total system cost:
  • UC refers to a class of optimization problems that determine the scheduling of generating units to minimize operational costs while ensuring system reliability.
  • ED, by contrast, focuses on dispatching the most efficient generating units available to meet demand at the lowest possible cost.
The optimization minimizes total system cost subject to constraints on generation capacity, ramping limits, reserves, and network flows. The general objective function can be summarized as:
m i n t ( C fuel + C start + C res + C emissions R export )
where C fuel denotes fuel costs, C start startup costs, C res reserve provision costs, C emissions emission penalties, and R export revenues from power exports.
To ensure the robustness and realism of the model, technical parameters for conventional generators are summarized in Table 6 and Table 7, based on the methodology reported in [24,90].

3.4. Chronological Integrity and Reliability Constraint

Simulations are conducted over a full-year horizon using both hourly and five-minute dispatch, with full chronological integrity preserved. Reliability is governed by Forced Outage Rate (FOR), Maintenance Rate, and Mean Time to Repair (MTTR), with technology-specific parameters applied consistently across scenarios.
  • Steam plants assumed FOR = 3–6%, Maintenance = 5–7%, and MTTR = 96–154 h due to age and unit size, significantly influencing adequacy under high VRE without flexibility.
  • Gas and CCGT units used FOR = 2–3%, Maintenance = 3%, and MTTR = 24–72 h.
  • Renewables and hydro were modeled with very low outage rates and short repair times (3–24 h) [91].
All scenarios are evaluated using PLEXOS ST + PASA, with international reliability constrained standard to LOLP ≤ 0.1.

3.5. Fuel Prices and Emission Rates

Natural gas is priced at USD 4.00/MMBTU, based on Egyptian regulatory disclosures. Emission factors for CO2, NOx, and SO2 are sourced from standard inventories [92,93] (Table 8).
Emissions are calculated endogenously by PLEXOS based on simulated fuel burn, allowing emissions to vary dynamically with dispatch outcomes rather than imposed exogenously.

3.6. Dynamic vs. Static Reserve Modeling

3.6.1. Dynamic Operating-Reserve Framework

Dynamic reserves are sized probabilistically based on forecast uncertainty using Load-Risk thresholds and Value of Reserve Service (VoRS). Three reserve products are modeled: Regulation Up, Regulation Down, and Contingency Spinning (Table 9). Parameters are consistent with international best practice [44,94].

3.6.2. Static Reserve Configuration (Baseline)

Static reserves follow deterministic Egyptian practice based on N-1 with 10% margin [11], with fixed MW requirements and higher VoRS to reflect inefficiency under uncertainty.
Holding reserve parameters constant across scenarios ensures that performance differences arise solely from reserve sizing methodology.
By locking the time parameter between static and dynamic regulations and contingency, any differences in cost, curtailment or reliability between the static and dynamic cases can be solely attributed to the difference in sizing methodology. All scenarios, encompassing both the static and dynamic reserve provisions (whether standalone or regionally interconnected), are tested under a unified simulation regime that employs hourly and 5 min economic dispatch.

3.7. Interconnection Modeling Framework: Justifying Economic Dispatch and Addressing Market Distortions in MENA Power Systems

Cross-border exchanges are optimized from the Egyptian system perspective based on normalized marginal costs and technical constraints, without joint optimization, market-based bidding, or coordinated market clearing across countries. Any operational performed efficiency due to economic dispatch not strategic trading behavior.
Large-scale integration of VRE requires a commensurate expansion of system flexibility. This study evaluates regional electricity interconnection as a core flexibility mechanism, focusing on Egypt’s interconnections with Saudi Arabia, Jordan, Libya, and Sudan. The objective is to quantify how least-cost ED of CBI affects system reliability, reserve adequacy, renewable curtailment, emissions, and total operating cost under renewable penetration levels of up to 50%.

3.7.1. Economic Dispatch vs. Bilateral Contracts

Cross-border electricity trade in the MENA region is currently dominated by fixed bilateral contracts, which prescribe predetermined import and export volumes independent of real-time system conditions. Such arrangements limit the ability of interconnections to respond to short-term variability and system stress.
In contrast, this study adopts a least-cost ED framework, allowing cross-border power flows to adjust dynamically based on marginal generation costs. This approach enables:
  • System-wide cost minimization, as power flows follow lowest marginal-cost resources;
  • Improved renewable utilization, by exporting surplus Egyptian renewable generation instead of curtailing it;
  • Temporal diversity gains, exploiting asynchronous load peaks across countries.
This framework reflects a flexibility-oriented market design.

3.7.2. Market Distortion and the Fuel-Subsidy Challenge

Applying economic dispatch in the MENA context presents a critical challenge: fuel price distortions caused by heavy subsidies in hydrocarbon-producing countries. In Saudi Arabia and Libya, administratively set natural gas prices are often far below international opportunity costs [95,96,97,98].
Initial simulations using subsidized fuel prices produced unphysical dispatch outcomes, including distorted power flows and artificial price spikes. These results confirmed that the model was responding to political price signals rather than economic fundamentals, undermining the validity of least-cost dispatch outcomes.

3.7.3. Fuel Price Normalization Strategy

To restore economic realism, the study applies a fuel price normalization approach based on opportunity cost pricing, valuing fuel at the cost of foregone export revenue rather than regulated domestic tariffs. This adjustment in Table 10 ensures that cross-border exchanges reflect true marginal costs and credible trade incentives.
This normalization is a methodological correction and essential for meaningful assessment of regional economic dispatch.

3.7.4. Simulation Parameters and Scope

The study employs a total of 20 scenarios to thoroughly test the interconnected environment: ten using hourly dispatch and ten using five-minute dispatch under identical reserve rules (dynamic and static). The study tests five levels of VRE penetration (10%, 25%, 37%, 42%, and 50%) across both dispatch intervals.
Each connected country is represented in the PLEXOS model as a node with associated generation and typical load profiles as in Table 11, respecting the following interconnection capacities and system demands:
To reduce computational complexity and focus the analysis on cross-border dynamics and Egypt’s internal flexibility mechanisms, Egypt’s internal transmission network is modeled as a copper plate, assuming unconstrained internal transfer capability to isolate the impact of the regional interconnection.
The operational and economic consistency of the economic dispatch framework is subsequently evaluated through reliability, curtailment, cost, and emissions outcomes presented in results and discussion (Section 4), highlighting its potential as a scalable and repeatable pathway for transitioning from rigid bilateral contracts toward economically dispatched interconnection in the MENA region.

3.8. Battery Energy Storage System (BESS)

For high-renewable scenarios (42% and 50%), utility-scale Li-ion BESS is introduced at the Egypt node. A portfolio of 400 MWh × 20 units is selected to balance reliability, curtailment recovery, and cost efficiency under N-4 contingency severe conditions, demonstrating a robust and scalable pathway under geopolitical risk to lose the four interconnection lines, high renewable variability and limited forecast accuracy.
BESS operation is co-optimized with CBI 8000 MW and dynamic reserves under five-minute dispatch. The battery sizing and operational performance were evaluated using the PLEXOS Short-Term (STS) and dispatch model and validated through the PASA.
Table 12 shows technical parameters of the BESS Portfolio based on literature [99,100].

3.9. Model Validation and Internal Consistency

Model accuracy and internal consistency were verified through three complementary validation tests applied to the 2023 base-year scenario (10% VRE, static reserves, isolated hourly dispatch).
  • Base-Year Operational Benchmarking (2023).
The PLEXOS base-year simulation was benchmarked against Egypt’s official electricity statistics reported by IRENA [101]. Total system generation was reproduced with a deviation of +6.2% (model: 243,894 GWh vs. actual: 229,619 GWh), well within acceptable accuracy limits for national-scale power system studies. Renewable generation closely matched reported values, with an error of +3.6% (28,046 GWh vs. 27,070 GWh), while hydropower output differed by only −5.4% from IRENA’s reported 15,056 GWh. These deviations confirm that the base model reliably captures Egypt’s generation mix and operating structure.
  • Emissions Consistency.
CO2 emissions were calculated endogenously by PLEXOS based on unit commitment and dispatch outcomes. The model produced 79 Mt CO2, compared with 89 Mt reported by IRENA [102] (−11.24%) and 85 Mt from IEA visual estimates [103] (−7.06%). Errors within the 7–11% range across independent sources indicate strong consistency in representing Egypt’s thermal dispatch and emissions intensity.
  • VRE Capacity Factor.
Simulated renewable capacity factors align closely with empirical performance ranges reported in the literature. The modeled PV capacity factor for Aswan (Benban) is 31.91%, within the reported range of 26–38.9% for utility-scale PV installations in Egypt [104,105,106]. Wind capacity factors of 49.32% for the Gulf of Suez and 52.74% for the Lekela West Bakr project are consistent with documented operational and feasibility ranges of 45–55% for modern wind farms in this corridor [107,108,109]. For CSP, the modeled capacity factor of 64.88% for Kuraymat aligns with literature reporting 45–90%, depending on thermal storage and solar resource conditions [107].
Overall, the close agreement between modeled and reported generation, emissions, and technology-specific capacity factors confirms the robustness and credibility of the PLEXOS base-year calibration, providing a reliable foundation for the subsequent high-renewable operational scenarios.

4. Results and Discussion

4.1. Electricity Supply Mix Under Alternative Flexibility Configurations

Figure 7, Figure 8, Figure 9, Figure 10, Figure 11, Figure 12, Figure 13 and Figure 14 presents the electricity supply mix across three operational configurations:
  • Hourly static dispatch without CBI;
  • 5 min dynamic dispatch without CBI and;
  • 5 min dynamic dispatch with CBI 4070 MW.
The three configurations were evaluated under increasing VRE penetration levels (10% to 50%).
Total annual generation remains constant across scenarios, reflecting fixed demand assumptions. However, significant structural shifts emerge in the composition of the generation mix. These shifts become clearer when analyzing technology-specific generation trends rather than aggregate stacked bars, which are dominated by combined-cycle output.
  • Electricity supply mix under hourly static dispatch without CBI
Figure 7 illustrates the generation mix under hourly static dispatch without cross-border interconnection. As renewable penetration rises from 10% to 50%, renewable output grows from 28,046 GWh to 169,581 GWh. Despite this increase, combined-cycle power plants remain the primary generation source, declining modestly from 207,400 GWh at 10% to 70,621 GWh at 50%.
Steam and gas-fired plants continue to supply meaningful generation—over 3300 GWh of gas turbines, generation persists at 50% renewable penetration. This reflects rigid thermal scheduling, where hourly dispatch constraints prevent full displacement of inflexible units.
The consistent total height of the bars confirms unchanged energy demand, while the limited shift in internal composition underscores the system’s inability to fully exploit renewable resources under coarse temporal resolution.
  • Electricity supply mix under 5 min dynamic dispatch without interconnection
Transitioning to five-minute dynamic dispatch without interconnection (Figure 8) significantly alters system operation. At 50% VRE, renewable generation rises to 171,087 GWh, while steam generation collapses from 2894 to 167 GWh and gas turbine from 796 to 51 GWh, respectively. Combined-cycle plants shift from baseload to a flexible balancing role, reflecting improved responsiveness to renewable variability even without infrastructure expansion.
  • Electricity supply mix under 5 min dynamic dispatch with 4070 MW CBI
Figure 9 presents the electricity supply mix under dynamic dispatch coupled with a 4070 MW cross-border interconnection. This scenario exhibits the most pronounced structural change. At 50% renewable penetration, renewable generation peaks at 179,621 GWh, while combined-cycle output declines to just 54,861 GWh—the lowest among all.
Steam and gas generation become negligible. Net imports provide a visible contribution at lower renewable penetration levels and decline as domestic renewable output increases, highlighting the role of interconnection as a flexibility buffer rather than a persistent energy source. The interplay of fine temporal resolution and spatial flexibility significantly improves the system’s ability to integrate renewables while minimizing reliance on thermal generation.
While Figure 1, Figure 2 and Figure 3 illustrate aggregate changes in the supply mix, Figure 4, Figure 5, Figure 6, Figure 7 and Figure 8 decompose total generation by technology to reveal the underlying drivers of these shifts under economic dispatch.

4.2. Evolution of Fossil Generation Across Flexibility Measures

Figure 10 shows a consistent decline in combined-cycle generation as both temporal and spatial flexibility improves. Under the most flexible configuration, combined-cycle output falls by approximately 23–30% across all renewable penetration levels relative to hourly static dispatch.
Figure 10. Combined-cycle generation across flexibility configurations.
Figure 10. Combined-cycle generation across flexibility configurations.
Energies 19 00786 g010
As renewable penetration increases, the system becomes progressively less dependent on fossil-based baseload. Under the most flexible configuration, combined-cycle units shift from continuous operation to a more responsive role—providing backup only when needed and ramping efficiently to balance variable renewables.
  • Steam and gas turbine:
Steam and gas turbine generation exhibit even steeper declines (Figure 11 and Figure 12).
Figure 11. Steam turbine generation across flexibility configurations (GWh).
Figure 11. Steam turbine generation across flexibility configurations (GWh).
Energies 19 00786 g011
Steam generation becomes nearly negligible under five-minute dispatch with interconnection, reflecting its poor economic performance in highly variable systems. Gas turbines, traditionally used for peaking, are almost entirely displaced (<20 GWh at 50% VRE), indicate that fast dispatch and regional coordination substantially reduce reliance on costly peaking resources.
Policy implication
Decarbonization requires both operational reform and physical infrastructure. Dispatch granularity, reserve design, and interconnection are as critical as renewable capacity expansion in reducing fossil generation.
Figure 12. Gas turbine generation across flexibility configurations (GWh).
Figure 12. Gas turbine generation across flexibility configurations (GWh).
Energies 19 00786 g012

4.3. Net Imports and Renewable Utilization

Figure 13 illustrates the role of net imports in the 5 min dynamic dispatch scenario with 4070 MW cross-border interconnection.
Figure 13. Evolution of net imports as renewable penetration increases under five-minute dynamic dispatch with CBI.
Figure 13. Evolution of net imports as renewable penetration increases under five-minute dynamic dispatch with CBI.
Energies 19 00786 g013
At 10% renewable penetration, imports reach 32,799 GWh, offering valuable balancing support. As domestic renewable output rises, imports decline steadily to 21,206 GWh at 50% penetration.
This trend confirms that interconnection operates as a temporal and spatial flexibility resource rather than a base energy supplier. In the early stages of renewable deployment, imports help absorb demand shocks and variability. At higher penetration levels, domestic renewable output increasingly meets system demand, reducing reliance on cross-border exchanges under a benchmark economic dispatch framework.
Figure 14 further demonstrates that renewable utilization improves systematically with increased flexibility. Moving from hourly static to five-minute dispatch reduces curtailment across all penetration levels, while interconnection amplifies these gains by enabling surplus renewable exports. The benefits of interconnection become most pronounced beyond 37–42% VRE, where internal balancing capability becomes binding.
Figure 14. Comparison of renewable energy generation under different dispatch resolutions and interconnection capacities.
Figure 14. Comparison of renewable energy generation under different dispatch resolutions and interconnection capacities.
Energies 19 00786 g014
Figure 13 and Figure 14 are obtained under a benchmark least-cost economic dispatch framework, not a fully coupled regional electricity market. Cross-border exchanges are optimized from the Egyptian system perspective based on normalized marginal costs and technical constraints, without joint optimization, market-based bidding, or coordinated market clearing across countries. The observed decline in net imports with increasing renewable penetration, together with the rise in renewable generation under higher interconnection capacities, therefore reflects the operational efficiency gains of economic dispatch under fuel price normalization, rather than outcomes driven by regional market coupling or strategic trading behavior.
Policy implication
  • These results demonstrate that significant renewable integration gains can be achieved through economic dispatch and fuel price normalization alone, even prior to full regional market coupling.
  • Cross-border interconnections should be treated as strategic investments in system flexibility. Their role is not merely to exchange bulk power but to enable variable renewables through regional balancing. Policymakers must ensure interconnection capacity planning is integrated into national VRE targets and supported by regional coordination frameworks.

4.4. System Adequacy and Reliability

Figure 15 shows system reliability using Loss-of-Load Probability (LOLP). Under static reserves without interconnection, LOLP remains critically high (>96%) across all renewable penetration levels, confirming structural inadequacy under deterministic reserve rules. Introducing dynamic reserves alone yields modest improvement and fails to prevent severe adequacy risks at higher renewable shares.
A step change occurs when dynamic reserves are combined with interconnection. LOLP falls to zero at low penetration levels and declines sharply at higher levels, reaching 0.29% at 50% VRE with 4070 MW interconnection. Expanding interconnection to 8000 MW and adding 8000 MWh BESS fully eliminates adequacy risks, reducing LOLP to 0% at 50% renewable penetration. These results confirm that reliability at high renewable penetration requires coordinated deployment of operational, spatial, and temporal flexibility.
Policy implication: Achieving high renewable penetration requires parallel investment in operational reforms (dynamic reserves), cross-border interconnection, and energy storage, rather than relying on generation expansion alone.

4.5. Renewable Curtailment

Curtailment is a key indicator of system inefficiency and inflexibility. Figure 16 compares renewable energy curtailment under three renewable penetration levels (37%, 42%, and 50%) across four operational configurations: hourly static dispatch without interconnection, five-minute dynamic dispatch without interconnection, five-minute dynamic dispatch with 4070 MW interconnection, and five-minute dynamic dispatch with 8000 MW interconnection complemented by 8000 MWh BESS.
  • At 37% renewable penetration, curtailment under hourly static dispatch without interconnection reaches 96.9 GWh, which is reduced to 56.0 GWh under five-minute dynamic dispatch, reflecting the benefit of higher temporal resolution in tracking short-term renewable variability and reducing intra-hour imbalance. When 4070 MW of interconnection is enabled, curtailment is fully eliminated (0 GWh), as surplus renewable generation can be economically exported to neighboring systems instead of being curtailed.
  • At 42% renewable penetration, curtailment rises sharply to 2095.1 GWh under hourly static dispatch and remains high at 1670.3 GWh even with five-minute dispatch alone, indicating that temporal flexibility is no longer sufficient once renewable output exceeds the system’s internal absorption capability under fixed demand. Introducing 4070 MW of interconnection reduces curtailment dramatically to 87.2 GWh (≈96% reduction) by providing spatial balancing through cross-border exchanges.
  • At 50% renewable penetration, curtailment becomes severe in the absence of spatial and temporal flexibility, reaching 15,495.8 GWh under hourly static dispatch and 13,994.1 GWh under five-minute dispatch, reflecting saturation of internal balancing resources and network constraints. With 4070 MW interconnection, curtailment is reduced to 5391.2 GWh, as export capability partially alleviates surplus conditions but remains capacity limited. The combined deployment of 8000 MW interconnection and BESS further reduces curtailment to just 288.2 GWh, corresponding to 98% reduction relative to the hourly static case, because spatial flexibility handles sustained excess generation while storage resolves residual short-duration mismatches.
Policy Implications
Beyond moderate renewable penetration, dispatch reform alone is insufficient. Spatial flexibility (interconnection) and storage are essential to prevent large-scale curtailment.

4.6. Carbon Emissions

Figure 17 illustrates the impact of operational flexibility measures and cross-border interconnection on CO2 emissions across increasing renewable energy penetration levels (10–50%). Across all scenarios, CO2 emissions decline steadily as renewable penetration increases, reflecting the direct displacement of fossil-fuel-based generation. Under hourly static dispatch, emissions decrease from 78.93 million tons at 10% VRE to 26.66 million tons at 50% RE, indicating that renewable expansion alone delivers substantial decarbonization benefits. However, the rate of emissions reduction differs significantly across operational configurations.
At 50% VRE, emissions fall from 26.66 Mt under hourly static dispatch to 25.19 Mt with five-minute dispatch. Introducing 4070 MW interconnection reduces emissions further to 18.97 Mt (≈28% reduction). Expanding interconnection to 8000 MW with BESS lowers emissions to 15.05 Mt, corresponding to a 40% reduction relative to the hourly static baseline.
Policy implication: While renewable expansion is the primary driver of emissions reduction, achieving deep decarbonization beyond 40–50% renewable penetration requires complementary investments in dispatch reform, cross-border interconnection, and energy storage to fully displace fossil-fuel-based balancing generation.

4.7. Reserve Scarcity Pricing

Reserve scarcity pricing reflects the marginal value of additional reserve capacity. Figure 18 shows how reserve scarcity prices evolve across renewable penetration levels (10–50%) under alternative operational flexibility configurations, where reserve scarcity prices are determined by the Value of Reserve (VoR) as a reliability signal within the system operator’s optimization, rather than representing market-clearing prices or bidding outcomes.
Under hourly static operation, scarcity prices rise sharply with renewable penetration, reaching USD 42.33/MW at 50% VRE. Dynamic reserves reduce scarcity at low and moderate penetration but become insufficient at high variability levels. Combining interconnection with five-minute dispatch keeps scarcity prices low across all scenarios. With expanded interconnection and BESS, scarcity prices fall to near zero, indicating that reserve adequacy is fully secured.
From a policy perspective, these findings suggest that shadow prices from operational models can inform future reserve-pricing mechanisms, guiding the transition toward a more transparent and efficiency-based electricity market.

4.8. Economic Outcomes Across Operational Flexibility Measures

Figure 19, Figure 20 and Figure 21 compare total operational costs, generation costs, and fuel costs under alternative operational flexibility configurations at 10%, 42%, and 50% renewable penetration. All results are derived from PLEXOS economic dispatch, in which energy and reserves are co-optimized to minimize total system costs subject to operational constraints.
Interpretation
Low Renewable Penetration (10%)
At 10% VRE, the system remains largely dominated by thermal generation, and flexibility measures deliver modest but measurable cost reductions. Transitioning from hourly static dispatch to five-minute dynamic dispatch reduces total operational costs from approximately USD 5.90 billion to USD 5.72 billion, driven mainly by lower fuel consumption and improved thermal unit commitment.
Introducing 4070 MW of interconnection under five-minute dispatch further reduces total operational costs to about USD 4.93 billion, with fuel costs falling from USD 5.35 billion to USD 4.44 billion. At this low renewable share, the economic benefit of interconnection is driven primarily by fuel substitution and access to lower-cost regional generation, rather than by renewable integration or curtailment avoidance.
Intermediate Renewable Penetration (42%)
At 42% VRE, the system enters a regime where flexibility becomes a dominant cost driver. While five-minute dispatch alone yields only a limited reduction in total operational cost (from USD 2.90 billion to USD 2.82 billion), the introduction of 4070 MW interconnection produces a much larger effect, lowering total operational costs to approximately USD 2.17 billion.
Expanding interconnection to 8000 MW and complementing it with BESS further reduces costs to about USD 1.85 billion, corresponding to a ~36% reduction relative to the hourly static baseline. These savings are primarily driven by substantial reductions in fuel costs (from USD 2.53 billion to USD 1.67 billion) as renewable curtailment is minimized and reliance on fossil-fuel-based balancing generation declines.
High Renewable Penetration (50%)
At 50% VRE, Figure 21 shows that the economic value of flexibility becomes even more pronounced. Five-minute dispatch alone reduces total operational costs marginally (from USD 2.18 billion to USD 2.08 billion), indicating that temporal flexibility by itself is insufficient at very high renewable shares.
By contrast, enabling 4070 MW interconnection lowers total operational costs to approximately USD 1.51 billion, while the combined deployment of 8000 MW interconnection and BESS reduces costs further to around USD 1.14 billion. This represents a ~48% reduction compared to the hourly static case. Fuel costs decline sharply—from USD 1.81 billion to USD 1.02 billion—reflecting deep displacement of thermal generation through renewable utilization and regional balancing.
Policy Implication
  • Crucially, the magnitude of cost savings increases nonlinearly with renewable penetration, confirming that flexibility investments become economically essential—not optional—beyond moderate renewable shares.Fuel costs exhibit the largest relative decline, confirming that flexibility primarily reduces fossil generation and inefficient thermal operation.
  • These findings clearly demonstrate that flexibility is not a cost burden but a cost-mitigation tool. As renewable shares increase, so too does the economic penalty of inflexibility. Grid modernization—via faster dispatch, dynamic reserves, regional coordination and BESS—is essential to achieving least-cost decarbonization.
Operational Savings as a Financing Signal for Flexibility Investments
Although this study focuses on short-term operational performance not long-term investment economics, the magnitude of the observed savings at 50% renewable penetration provides a strong economic signal for investment. Under 5 min dynamic dispatch with 8000 MW interconnection and BESS, annual fuel savings of approximately USD 800 million are achieved, alongside total system cost reductions exceeding USD 1.0 billion per year. These recurring operational savings indicate that investments in interconnection and storage could be largely self-financed through avoided fuel consumption and improved dispatch efficiency, implying high effective annual returns and short payback periods.

4.9. Electricity Exports Under Hourly Dynamic Dispatch Across Renewable Penetration Levels

Figure 22 illustrates how electricity exports from Egypt evolve under hourly dynamic dispatch as renewable penetration increases, comparing two interconnection capacities (4070 MW and 8000 MW).
Figure 22 shows that electricity exports rise sharply beyond 37% VRE, doubling at 50% VRE when interconnection expands from 4070 MW to 8000 MW. This confirms that even without a fully coupled regional market, expanding interconnection capacity and adopting economic dispatch enables Egypt to manage renewable surpluses efficiently under fixed demand, reducing curtailment and supporting higher renewable targets.

4.10. The Robust Basis for Policy-Relevant Insights (Results to 50% Renewable Energy Scenario)

At this high penetration level, the system exhibits maximum variability and flexibility requirements, including steep net load ramps, elevated curtailment risk, and heightened sensitivity to reserve formulation and dispatch resolution. Consequently, the performance differences between hourly and five-minute dispatch, as well as the system-wide benefits of dynamic reserves, cross-border interconnection, and battery energy storage systems (BESS), are most clearly revealed. the analysis emphasizes the upper bound of system stress and flexibility value, providing a robust basis for policy-relevant insights applicable to Egypt’s medium- and long-term decarbonization pathway. The quantitative results reported in Table 13.
Policy implication:
  • Operational reform is as important as infrastructure investment.
  • Dynamic reserves, five-minute dispatch, interconnection, and BESS are complementary—not substitutes to reach high renewable integration.
  • High renewable penetration without flexibility leads to curtailment, high costs, and reliability failure.
  • Economic dispatch of interconnections provides a near-term pathway toward regional coordination in MENA.

5. Conclusions

5.1. Summary of Findings

This study developed an integrated short-term operational framework for Egypt’s power system using the PLEXOS STP and PASA modules to co-optimize unit commitment, economic dispatch, and reserves under rising VRE penetration. The framework jointly evaluated dynamic reserve allocation, five-minute dispatch, regional economic dispatch through interconnections, and utility-scale battery energy storage systems (BESS) across 40 scenarios with renewable penetration ranging from 10% to 50%.
The results demonstrate that operational reforms alone already deliver substantial efficiency gains, but the combined deployment of operational and structural flexibility yields transformative outcomes. Under the integrated flexibility configuration—dynamic reserves, five-minute dispatch, 8000 MW of interconnection capacity, and 8000 MWh of BESS—total system costs were reduced by more than 45%, Loss-of-Load Probability (LOLP) was fully eliminated, and renewable curtailment declined by up to 98%. At the 50% VRE target, these measures enabled renewables to supply approximately 82% of Egypt’s total electricity generation, confirming that deep renewable integration is technically feasible without compromising system reliability.
However, the analysis also shows that operational measures alone are insufficient to sustain long-term adequacy at high renewable shares. Continued expansion of interconnections-based ED, storage capacity, and—eventually—flexible demand participation is required. Sustainable reliability therefore depends on aligning short-term operational innovation with long-term physical and institutional investments.
For Egypt’s vertically regulated electricity sector under EEHC, the findings provide actionable guidance for gradual market reform. Internal operational reforms—particularly dynamic reserve sizing and transparent valuation of flexibility—can act as low-risk entry points toward future market-based mechanisms. At the regional level, although MENA interconnections currently operate through bilateral contracts rather than coordinated economic dispatch, the results highlight the significant economic and environmental benefits of progressing toward regionally coordinated economic dispatch supported by enhanced data transparency and institutional cooperation.

5.2. Institutional Integration Between the TSO and Market Governance for Dynamic Operation Under Hourly and Five-Minute Dispatch

The transition from hourly dispatch with static reserves to dynamic operation—including hourly and five-minute dispatch—represents a major institutional and operational shift, especially for power systems with rising VRE penetration. Successful implementation depends on a clear separation of roles and strong coordination between the Transmission System Operator (TSO) and the market regulator to ensure reliability while unlocking operational flexibility.
1.
Role of the TSO (EETC/National Load Dispatch Center)
The Egyptian TSO holds full responsibility for real-time system security under dynamic operation. Its core functions include centralized short-term forecasting of demand and VRE, translating uncertainty into risk-based dynamic reserve requirements, and executing co-optimized unit commitment and economic dispatch at hourly and five-minute intervals. The TSO also performs continuous real-time balancing, operates BESS as integrated security and flexibility assets, manages cross-border interconnection flows within security limits, and enforces and updates the Grid Code to accommodate sub-hourly dispatch, dynamic reserves, and storage integration.
2.
Role of the Market Regulator (Egypt ERA)
Egypt ERA provides market governance and regulatory oversight without intervening in real-time operations. Its responsibilities include approving forecasting and reserve-sizing methodologies, setting rules for sub-hourly dispatch and ancillary services, defining scarcity pricing and reserve valuation frameworks, protecting consumers, and ratifying Grid Code updates in coordination with the TSO.
3.
Regional Coordination and Prospects for Economic Dispatch Integration
In this study, regional economic dispatch is proposed as a forward-looking coordination mechanism instead of current bilateral contract. Under such a system, national TSOs retain operational sovereignty but progressively coordinate dispatch and interconnection usage to improve overall efficiency. Harmonized technical standards, transparent capacity allocation, shared operational data, and coordinated congestion management enable surplus renewable energy from one country to be exported to neighboring systems, reducing curtailment and lowering total system costs while enhancing regional reliability.
4.
The Mediterranean Transmission System Operators (Med-TSO) platform provides a regional technical framework to support future integration. Med-TSO does not engage in real-time dispatch or market operations but facilitates grid-code harmonization, data exchange, and long-term interconnection planning among member TSOs, including Egypt.

5.3. Policy Implications

The following policy directions emerge from the findings:
1.
Launch a Dynamic Reserve Procurement Pilot within EEHC
Initiate a pilot project under EEHC to test probabilistic reserve management, replacing static N-1margins with condition-based dynamic requirements. This will build institutional experience and empirically validate modeled cost and reliability gains.
2.
Integrate Flexibility Valuation and Transparency Mechanisms
Mandate publication of reserve and frequency-response “shadow prices” to enhance transparency and prepare for gradual ancillary-service market development across Egypt and the wider MENA region.
3.
Enable Curtailment Avoidance and Flexibility Compensation
Introduce compensation mechanisms for storage and flexible demand operators that absorb renewable curtailment or provide reserves, aligning incentives with decarbonization goals.
4.
Promote Structural Flexibility Investments
Redirect operational savings toward capital investments in BESS, interconnection upgrades, and demand response, addressing the structural reliability gap observed in standalone high-VRE scenarios.
5.
Advance Regional Market Coupling Frameworks
Egypt should collaborate with MENA partners to move from bilateral interconnection agreements toward transparent, economically dispatched regional markets, unlocking further cost and emission benefits.

5.4. Limitation

While this study adopts a regional economic dispatch framework in PLEXOS STS based ED and PASA modeling—representing Egypt’s interconnections with Libya, Jordan, Sudan, and Saudi Arabia through load and generation nodes and normalized fuel price assumptions—the analysis remains primarily Egypt-centric. Cross-border exchanges were modeled from Egypt’s operational and flexibility perspective. This approach reflects Egypt’s position as the focal point of the analysis rather than a fully coupled regional market simulation. Key limitations include:
  • Simplified Interconnection Representation: Cross-border links are modeled as controllable transfer capacities, not full AC power-flow networks; hence, loop flows, voltage constraints, and internal congestion within neighboring systems are not captured.
  • Regional Market Coupling: Fully coupled multi-country dispatch—covering joint reserve procurement, coordinated congestion management, market participant behavior, bidding strategies, market power abuse, interest games and broader institutional dynamics fall outside the study’s scope.
  • Demand-Side Exclusion: Demand response and consumer-side flexibility, including behind-the-meter storage, are not considered.
  • CAPEX and Long-Term Planning: The assessment focuses on OPEX and dispatch efficiency. Excluding long-term investment decisions.
  • Technology Scope: Storage modeling is limited to Li-ion BESS. Long-duration storage options (e.g., pumped hydro, CAES) are not evaluated and merit future investigation.
These constraints reflect deliberate modeling choices aligned with the study’s objective: to quantify the operational and flexibility value of dynamic reserves, shorter dispatch intervals, Li-ion BESS, and interconnection for Egypt across multiple renewable penetration levels. The analysis emphasizes that institutional reforms are as critical as structural reforms in de-risking the transition to high renewable penetration while maintaining system reliability, rather than delivering a comprehensive long-term investment or market-coupling assessment.

5.5. Future Research Directions

Building on these findings, future work should expand the current framework by addressing the following:
1.
Regional Market Coupling and Design
Extend the model to multi-country co-optimization of energy and reserves to quantitatively evaluate full market coupling in the MENA region.
2.
Reserve Pricing and Economic Evaluation
Integrate market-based reserve pricing and comprehensive cost benefit analysis to assess the financial viability of flexibility reforms under different stages of market liberalization.
3.
Dynamic Demand Modeling
Extend the framework to include demand response, consumer participation, and consumer-side energy storage, enabling endogenous supply, demand, and storage interactions.
4.
Data Transparency and Regional Coordination
Develop a MENA-wide data transparency platform to harmonize operational data and support coordinated cross-border planning and dispatch.
5.
Long-Term Transmission and Generation Planning
Link short-term dispatch outcomes with long-term transmission and generation expansion planning and investment optimization.
6.
Integrated Sustainability Metrics
Combine operational results with environmental, social, and equity indicators—including emissions reduction, energy access, and employment impacts—to support holistic energy transition strategies in Egypt and the wider MENA region.

Author Contributions

Conceptualization, A.H.T. and K.-w.C.; data curation, formal analysis, investigation, and writing—original draft, A.H.T.; methodology, A.H.T. and S.-j.P.; supervision and writing—review and editing, K.-w.C.; funding acquisition and resources, S.-j.P. All authors have read and agreed to the published version of the manuscript.

Funding

This research was supported by the 2025 Research Fund of the KEPCO International Nuclear Graduate School (KINGS), the Republic of Korea.

Data Availability Statement

The original contributions presented in this study are included in the article material. Further inquiries can be directed to the corresponding author.

Conflicts of Interest

The authors declare no conflicts of interest.

Abbreviations

AbbreviationDefinition
BESSBattery energy storage system
CAPEXCapital Expenditure
CBICross-border interconnection
DRDemand response
EDEconomic dispatch
EEHCEgyptian Electricity Holding Company
GCCGulf Cooperation Council
LOLPLoss-of-Load Probability
MENAMiddle East and North Africa
OPEXOperational Expenditure
PASAProjected Assessment of System Adequacy
PLEXOSPower Market Simulation Software
PVPhotovoltaic
ROIReturn on Investment
STShort-term
VREVariable Renewable Energy

References

  1. Mondal, M.A.H.; Denich, M. Assessment of renewable energy resources potential for electricity generation in Bangladesh. Renew. Sustain. Energy Rev. 2010, 14, 2401–2413. [Google Scholar] [CrossRef]
  2. Chu, S.; Majumdar, A. Opportunities and challenges for a sustainable energy future. Nature 2012, 488, 294–303. [Google Scholar] [CrossRef] [PubMed]
  3. Jakob, M.; Haller, M.; Marschinski, R. Will history repeat itself? Economic convergence and convergence in energy use patterns. Energy Econ. 2012, 34, 95–104. [Google Scholar] [CrossRef]
  4. Al-Riffai, P.; Blohmke, J.; Breisinger, C.; Wiebelt, M. Harnessing the Sun and Wind for Economic Development? An Economy-Wide Assessment for Egypt. Sustainability 2015, 7, 7714–7740. [Google Scholar] [CrossRef]
  5. United Nations Framework Convention on Climate Change (UNFCCC). Status of Ratification of the Kyoto Protocol; United Nations: New York, NY, USA, 2005. Available online: https://unfccc.int/process/the-kyoto-protocol/status-of-ratification (accessed on 9 January 2026).
  6. Rahman, S.M.; Raihan, A.; Alam, M.S.; Chowdhury, S. Greenhouse gas emission dynamics and climate change mitigation efforts toward sustainability in the Middle East and North Africa (MENA) region. Reg. Sustain. 2025, 6, 100246. [Google Scholar] [CrossRef]
  7. International Renewable Energy Agency (IRENA). Egypt Could Meet More than 50 Percent of Its Electricity Demand with Renewable Energy. Press Release, Cairo, Egypt. 9 October 2018. Available online: https://www.irena.org/News/pressreleases/2018/Oct/Egypt-Could-Meet-More-than-50-percent-of-its-Electricity-Demand-with-Renewable-Energy (accessed on 25 October 2025).
  8. Egyptian Electricity Holding Company (EEHC). Annual Report 2022/2023; EEHC: Cairo, Egypt, 2023. Available online: https://www.eehc.gov.eg/CMSEehc/Files/AnnualReport2023En.pdf (accessed on 30 October 2025).
  9. Government of Egypt. Electricity Law No. 87 of 2015; Official Gazette: Cairo, Egypt, 2015. Available online: https://egyptera.org/en/SidePages/img/works/pdf/SitePDF/law2015.pdf (accessed on 30 August 2025).
  10. Egypt Electricity Regulatory Authority (ERA). The Organizational Structure for Residential and Commercial Photovoltaic Systems. Available online: https://egyptera.org/en/Rules.aspx (accessed on 20 July 2025).
  11. Abdallah, O.H. Security and reliability criteria for electricity generation and transmission system planning. J. Egypt. Soc. Eng. 2022, 61, 3–10. [Google Scholar] [CrossRef]
  12. Eastern Africa Power Pool (EAPP). Official Website. Available online: https://eappool.org/ (accessed on 25 October 2025).
  13. Yu, K.; van Son, P. Review of trans-Mediterranean power grid interconnection: A regional roadmap towards energy sector decarbonization. Glob. Energy Interconnect. 2023, 6, 115–126. [Google Scholar] [CrossRef]
  14. Tanchum, M.; Martin, A.P.; Suleiman, H.; Sainati, T.; Juarez Cornelio, J.R. Renewable Energy and Electricity Interconnection Megaprojects in North Africa; White Rose University: Leeds, UK, 2024; Available online: https://www.euromesco.net/publications (accessed on 9 January 2026).
  15. New and Renewable Energy Authority (NREA). Annual Report 2023–2024; Ministry of Electricity and Renewable Energy: Cairo, Egypt, 2024. Available online: http://www.nrea.gov.eg/ (accessed on 9 January 2026).
  16. International Energy Agency (IEA). Renewables 2018: Market Analysis and Forecast; IEA: Paris, France, 2018. Available online: https://www.iea.org/reports/renewables-2018 (accessed on 30 August 2025).
  17. Global Solar Atlas. World Bank Group. Available online: https://globalsolaratlas.info/ (accessed on 25 October 2025).
  18. New and Renewable Energy Authority (NREA). Annual Report 2015; NREA: Cairo, Egypt, 2015. Available online: http://www.nrea.gov.eg/Content/reports/AnnualReportAr2015.pdf (accessed on 30 August 2025).
  19. Khalil, A.K.; Mubarak, A.M.; Kaseb, S.A. Road map for renewable energy research and development in Egypt. J. Adv. Res. 2010, 1, 29–38. [Google Scholar] [CrossRef]
  20. Forum on China–Africa Cooperation (FOCAC). China’s Green Energy Company Starts Construction of Solar Plant in Egypt; FOCAC: Beijing, China, 2018. Available online: http://www.focac.org/eng (accessed on 23 April 2025).
  21. Mortensen, N.G.; Said Said, U.; Badger, J. Wind Atlas for Egypt. In Proceedings of the Third Middle East—North Africa Renewable Energy Conference (MENAREC 3), Cairo, Egypt, 12–14 June 2006; Available online: https://orbit.dtu.dk/en/publications/wind-atlas-for-egypt (accessed on 10 January 2026).
  22. Madrigal, M.; Porter, K. Operating and Planning Electricity Grids with Variable Renewable Generation: Review of Emerging Lessons from Selected Operational Experiences and Desktop Studies; World Bank: Washington, DC, USA, 2013. [CrossRef]
  23. Bird, L.; Milligan, M.; Lew, D. Integrating Variable Renewable Energy: Challenges and Solutions; National Renewable Energy Laboratory (NREL): Golden, CO, USA, 2013. [CrossRef]
  24. Van den Bergh, K.; Delarue, E. Cycling of conventional power plants: Technical limits and actual costs. Energy Convers. Manag. 2015, 97, 70–77. [Google Scholar] [CrossRef]
  25. Kumar, N.; Besuner, P.; Lefton, S.; Agan, D.; Hilleman, D. Power Plant Cycling Costs; Intertek APTECH: Sunnyvale, CA, USA, 2012. Available online: https://www.nrel.gov/docs/fy12osti/55433.pdf (accessed on 30 August 2025).
  26. Lannoye, E.; Milligan, M.; Adams, J.; Tuohy, A.; Chandler, H.; Flynn, D.; O’Malley, M. Integration of variable generation: Capacity value and evaluation of flexibility. In Proceedings of the IEEE Power and Energy Society General Meeting, Minneapolis, MN, USA, 25–29 July 2010; IEEE: Piscataway, NJ, USA, 2010; pp. 1–6. [Google Scholar] [CrossRef]
  27. Lannoye, E.; Flynn, D.; O’Malley, M. The role of power system flexibility in generation planning. In Proceedings of the 2011 IEEE Power and Energy Society General Meeting, Detroit, MI, USA, 24–28 July 2011; pp. 1–6. [Google Scholar] [CrossRef]
  28. Lannoye, E.; Flynn, D.; O’Malley, M. Evaluation of power system flexibility. IEEE Trans. Power Syst. 2012, 27, 922–931. [Google Scholar] [CrossRef]
  29. Cochran, J.; Miller, M.; Zinaman, O.; Palmintier, B.; O’Malley, M.; Mueller, S.; Lannoye, E.; Tuohy, A.; Kujala, B.; Sommer, M.; et al. Flexibility in 21st Century Power Systems; National Renewable Energy Laboratory (NREL): Golden, CO, USA, 2014. Available online: https://www.nrel.gov/docs/fy14osti/61721.pdf (accessed on 30 October 2025).
  30. Alhelou, H.H.; Hamedani-Golshan, M.; Zamani, R.; Heydarian-Forushani, E.; Siano, P. Challenges and opportunities of load frequency control in conventional, modern and future smart power systems: A comprehensive review. Energies 2018, 11, 2497. [Google Scholar] [CrossRef]
  31. Zurfi, A.; Zhang, J. Exploitation of battery energy storage in load frequency control: A literature survey. Am. J. Eng. Appl. Sci. 2016, 9, 1173–1188. [Google Scholar] [CrossRef][Green Version]
  32. Roth, A.; Schill, W.P. Geographical balancing of wind power decreases storage needs in a 100% renewable European power sector. iScience 2023, 26, 107074. [Google Scholar] [CrossRef] [PubMed]
  33. Roncallo, O.P.; Campillo, J.; Ingham, D.; Ma, L.; Pourkashanian, M. The role of energy storage and cross-border interconnections for increasing the flexibility of future power systems: The case of Colombia. Smart Energy 2021, 2, 100016. [Google Scholar] [CrossRef]
  34. Ćosić, B.; Ban, M.; Duić, N. Impact of the EU Carbon Border Adjustment Mechanism on electricity trade with Energy Community contracting parties. Util. Policy 2025, 95, 101951. [Google Scholar] [CrossRef]
  35. Bacardi, A.; Mendes, C.; Stoffel, I. Battery electricity storage as both a complement and substitute for cross-border interconnection. Energy Policy 2024, 189, 114134. [Google Scholar] [CrossRef]
  36. Hamdi, M.; Salmawy, H.A.E.; Ragab, R. Incorporating operational constraints into long-term energy planning: The case of the Egyptian power system under high share of renewables. Energy 2024, 297, 131619. [Google Scholar] [CrossRef]
  37. El-Sayed, A.H.A.; Khalil, A.; Yehia, M. Energy storage systems impact on Egypt’s future energy mix with high renewable energy penetration: A long-term analysis. J. Energy Storage 2024, 95, 112583. [Google Scholar] [CrossRef]
  38. Impram, S.; Nese, S.V.; Oral, B. Challenges of renewable energy penetration on power system flexibility: A survey. Energy Strategy Rev. 2020, 31, 100539. [Google Scholar] [CrossRef]
  39. Kirby, B.; Ela, E.; Milligan, M. Analyzing the impact of variable energy resources on power system reserves. In Renewable Energy Integration: Practical Management of Variability, Uncertainty, and Flexibility in Power Grids, 2nd ed.; Jones, L.E., Ed.; Academic Press: Cambridge, MA, USA, 2017; Chapter 7; pp. 85–100. [Google Scholar] [CrossRef]
  40. Zheng, T.; Litvinov, E. Contingency-based zonal reserve modeling and pricing in a co-optimized energy and reserve market. IEEE Trans. Power Syst. 2008, 23, 277–286. [Google Scholar] [CrossRef]
  41. Hogan, W.W.; Pope, S.L. PJM Reserve Markets: Operating Reserve Demand Curve Enhancements; Harvard University: Cambridge, MA, USA, 2019; Available online: https://whogan.scholars.harvard.edu/sites/g/files/omnuum4216/files/whogan/files/hogan_pope_pjm_report_032119.pdf (accessed on 9 January 2026).
  42. Zhang, L.; Zhou, Y.; Flynn, D.; Mutale, J.; Mancarella, P. System-level operational and adequacy impact assessment of photovoltaic and distributed energy storage, with consideration of inertial constraints, dynamic reserve and interconnection flexibility. Energies 2017, 10, 989. [Google Scholar] [CrossRef]
  43. Vieira, P.; Rosa, M.; Bremermann, L.; Pequeno, E.; Miranda, S. Long-term static and operational reserves assessment considering operating and market agreements representation to multi-area systems. Energies 2020, 13, 1455. [Google Scholar] [CrossRef]
  44. Mehrtash, M.; Hobbs, B.F.; Ela, E. Reserve and energy scarcity pricing in United States power markets: A comparative review of principles and practices. Renew. Sustain. Energy Rev. 2023, 183, 113465. [Google Scholar] [CrossRef]
  45. Michael, M.; Pearl, D.; Debra, L.; Erik, E.; Brendan, K.; Hannele, H.; Eamonn, L.; Damian, F.; Mark, M.; Nicholas, M.; et al. Operating reserves and wind power integration: An international comparison. In Proceedings of the 9th International Workshop on Large-Scale Integration of Wind Power into Power Systems, Quebec, QC, Canada, 18–19 October 2010; Available online: https://www.nrel.gov/docs/fy11osti/49019.pdf (accessed on 9 January 2026).
  46. Zhou, Z.; Botterud, A. Dynamic scheduling of operating reserves in co-optimized electricity markets with wind power. In Proceedings of the IEEE PES General Meeting, National Harbor, MD, USA, 27–31 July 2014; IEEE: Piscataway, NJ, USA, 2014; pp. 1–5. [Google Scholar] [CrossRef]
  47. Lyon, J.; Wang, F.; Hedman, K.; Zhang, M. Market implications and pricing of dynamic reserve policies for systems with renewables. IEEE Trans. Power Syst. 2015, 30, 1593–1602. [Google Scholar] [CrossRef]
  48. Varhegyi, G.; Nour, M. Advancing Fast Frequency Response Ancillary Services in Renewable-Heavy Grids: A Global Review of Energy Storage-Based Solutions and Market Dynamics. Energies 2024, 17, 3737. [Google Scholar] [CrossRef]
  49. Wang, X. Advances in market management solutions for variable energy resources integration. In Renewable Energy Integration: Practical Management of Variability, Uncertainty, and Flexibility in Power Grids, 2nd ed.; Jones, L.E., Ed.; Academic Press: Cambridge, MA, USA, 2017; Chapter 8; pp. 101–112. [Google Scholar] [CrossRef]
  50. Motalleb, M.; Thornton, M.; Reihani, E.; Ghorbani, R. A nascent market for contingency reserve services using demand response. Appl. Energy 2016, 179, 985–995. [Google Scholar] [CrossRef]
  51. Billimoria, F.; Mancarella, P.; Poudineh, R. Market and regulatory frameworks for operational security in decarbonizing electricity systems: From physics to economics. Oxf. Open Energy 2022, 1, oiac007. [Google Scholar] [CrossRef]
  52. Australian Energy Market Operator (AEMO). Five Minute Settlement Archive. Available online: https://www.aemo.com.au/initiatives/major-programs/past-major-programs/five-minute-settlement (accessed on 9 January 2026).
  53. Keeratimahat, K. Characterising Short-Term Variability, Uncertainty and Controllability of Utility Photovoltaics and Their Implications for Integrating High Renewables Penetrations. Ph.D. Thesis, UNSW Sydney, Sydney, Australia, 2021. [Google Scholar] [CrossRef]
  54. McLeod, V. The Role of Demand Flexibility Trading in Australia’s Clean Energy Transition: A Systems Thinking Approach. Master’s Thesis, Queensland University of Technology, Brisbane, Australia, 2023. Available online: https://eprints.qut.edu.au/245076/ (accessed on 9 January 2026).
  55. Sapkota, S. An Analysis of Price-Setting Generation Technologies in the Australian National Electricity Market. Master’s Thesis, Macquarie University, Sydney, Australia, 2022; 93p. Available online: https://figshare.mq.edu.au/articles/thesis/An_analysis_of_price-setting_generation_technologies_in_the_Australian_National_Electricity_Market/21599085 (accessed on 9 January 2026).
  56. Datta, U.; Kalam, A.; Shi, J. A review of key functionalities of battery energy storage system in renewable energy integrated power systems. Energy Storage 2020, 3, e224. [Google Scholar] [CrossRef]
  57. He, W.; King, M.; Luo, X.; Dooner, M.; Li, D.; Wang, J. Technologies and economics of electric energy storages in power systems: Review and perspective. Adv. Appl. Energy 2021, 4, 100060. [Google Scholar] [CrossRef]
  58. Prakash, K.; Ali, M.; Siddique, M.N.I.; Chand, A.A.; Kumar, N.M.; Dong, D.; Pota, H.R. A review of battery energy storage systems for ancillary services in distribution grids: Current status, challenges and future directions. Front. Energy Res. 2022, 10, 971704. [Google Scholar] [CrossRef]
  59. Rancilio, G.; Bovera, F.; Merlo, M. Revenue stacking for BESS: Fast frequency regulation and balancing market participation in Italy. Int. Trans. Electr. Energy Syst. 2022, 2022, 1894003. [Google Scholar] [CrossRef]
  60. Yu, P.; Zhu, J.; Liang, J.; Chen, H.; Xiong, X. Construction method of ancillary emergency backup service based on battery energy storage system. Int. J. Electr. Power Energy Syst. 2023, 147, 108881. [Google Scholar] [CrossRef]
  61. Maluenda, M.; Córdova, S.; Lorca, Á.; Negrete-Pincetic, M. Optimal operation scheduling of a PV–BESS–Electrolyzer system for hydrogen production and frequency regulation. Appl. Energy 2023, 344, 121243. [Google Scholar] [CrossRef]
  62. Cruz-De-Jesús, E.; Martínez-Ramos, J.L.; Marano-Marcolini, A.; Gómez-Expósito, A. Economic assessment of battery energy storage systems for frequency regulation reserve provision: A case study of the Dominican Republic. Energy Sustain. Dev. 2025, 88, 101749. [Google Scholar] [CrossRef]
  63. McIlwaine, N.; Foley, A.M.; Best, R.; Morrow, D.J.; Al Kez, D. Modelling the effect of distributed battery energy storage in an isolated power system. Energy 2023, 263, 125789. [Google Scholar] [CrossRef]
  64. Poudineh, R.; Sen, A.; Fattouh, B. Advancing renewable energy in resource-rich economies of the MENA. Renew. Energy 2018, 123, 135–149. [Google Scholar] [CrossRef]
  65. Golden, R.; Paulos, B. Curtailment of renewable energy in California and beyond. Electr. J. 2015, 28, 36–50. [Google Scholar] [CrossRef]
  66. Newbery, D.; Strbac, G.; Viehoff, I. The benefits of integrating European electricity markets. Energy Policy 2016, 94, 253–263. [Google Scholar] [CrossRef]
  67. Crozier, C.; Baker, K. The effect of renewable electricity generation on the value of cross-border interconnection. Appl. Energy 2022, 324, 119717. [Google Scholar] [CrossRef]
  68. Li, C.; Chen, D.; Liu, X.; Shahidehpour, M.; Yang, H.; Liu, H.; Huang, W.; Wang, J.; Deng, X.; Zhang, Q. Fault mitigation mechanism to pave the way to accommodate over 90% renewable energy in electric power systems. Appl. Energy 2024, 359, 122623. [Google Scholar] [CrossRef]
  69. Denny, E.; Tuohy, A.; Meibom, P.; Keane, A.; Flynn, D.; Mullane, A.; O’Malley, M. The impact of increased interconnection on electricity systems with large penetrations of wind generation: A case study of Ireland and Great Britain. Energy Policy 2010, 38, 6946–6954. [Google Scholar] [CrossRef]
  70. Med-TSO; ENTSO-E. Interconnected Network of the Mediterranean Electricity Transmission System 2024; Med-TSO: Rome, Italy, 2024; Available online: https://med-tso.org/en/map-of-the-interconnected-electricity-transmission-networks-2024/ (accessed on 12 January 2026).
  71. El-Kholy, H.; Faried, R. Managing the growing energy demand: The case of Egypt. Energy Environ. 2011, 22, 553–563. [Google Scholar] [CrossRef]
  72. World Bank Group. The Value of Trade and Regional Investments in the Pan-Arab Electricity Market: Integrating Power Systems and Building Economies. World Bank: Washington, DC, USA, 2021. Available online: https://hdl.handle.net/10986/36531 (accessed on 9 January 2026).
  73. Fälth, H.; Ek, V.V.; Atsmon, D.; Reichenberg, L.; Verendel, V. MENA compared to Europe: The influence of land use, nuclear power, and transmission expansion on renewable electricity system costs. Energy Strategy Rev. 2021, 33, 100590. [Google Scholar] [CrossRef]
  74. Fotis, G.; Maris, T.I.; Mladenov, V. Risks, Obstacles and Challenges of the Electrical Energy Transition in Europe: Greece as a Case Study. Sustainability 2025, 17, 5325. [Google Scholar] [CrossRef]
  75. Zhu, Z.; Hunjra, A.I.; Alharbi, S.; Zhao, S. Global energy transition under geopolitical risks: An empirical investigation. Energy Economics 2025, 145, 108495. [Google Scholar] [CrossRef]
  76. International Renewable Energy Agency (IRENA). Geopolitics of the Energy Transition: Energy Security in the Age of Renewables; IRENA: Abu Dhabi, United Arab Emirates, 2024. Available online: https://www.irena.org/publications/2024/Apr/Geopolitics-of-the-energy-transition-Energy-security (accessed on 2 October 2025).
  77. Aghahosseini, A.; Bogdanov, D.; Breyer, C. Towards sustainable development in the MENA region: Analysing the feasibility of a 100% renewable electricity system in 2030. Energy Strategy Rev. 2020, 28, 100466. [Google Scholar] [CrossRef]
  78. Timilsina, G.R. Subsidy removal, regional trade and CO2 mitigation in the electricity sector in the Middle East and North Africa region. Energy Policy 2023, 176, 113557. [Google Scholar] [CrossRef]
  79. Taliotis, C.; Karmellos, M.; Fylaktos, N.; Zachariadis, T. Enhancing decarbonization of power generation through electricity trade in the Eastern Mediterranean and Middle East Region. Renew. Sustain. Energy Transit. 2023, 4, 100060. [Google Scholar] [CrossRef]
  80. AlKhal, F.; Chedid, R.; Itani, Z.; Karam, T. An assessment of the potential benefits from integrated electricity capacity planning in the northern Middle East region. Energy 2006, 31, 2316–2324. [Google Scholar] [CrossRef]
  81. Mondal, M.A.H.; Ringler, C. Long-term optimization of regional power sector development: Potential for cooperation in the Eastern Nile region? Energy 2020, 201, 117703. [Google Scholar] [CrossRef]
  82. Petitet, M.; Ricaud, B.; Felder, F.A.; Elshurafa, A.M. Cross-border electricity trading in the GCC countries, Egypt, Jordan and Iraq: Hourly market coupling or bilateral agreements? Energy 2025, 327, 136320. [Google Scholar] [CrossRef]
  83. Rady, Y.Y.; Rocco, M.V.; Serag-Eldin, M.A.; Colombo, E. Modelling for power generation sector in developing countries: Case of Egypt. Energy 2018, 165, 198–209. [Google Scholar] [CrossRef]
  84. Mondal, M.A.H.; Ringler, C.; Al-Riffai, P.; Eldidi, H.; Breisinger, C.; Wiebelt, M. Long-term optimization of Egypt’s power sector: Policy implications. Energy 2019, 166, 1063–1073. [Google Scholar] [CrossRef]
  85. Abdelzaher, M.M.; Abdelaziz, A.Y.; Mahmoud, H.M.; Mekhamer, S.F.; Ali, S.G.; Alhelou, H.H. Generation expansion planning with high shares of variable renewable energies. AIMS Energy 2020, 8, 272–298. [Google Scholar] [CrossRef]
  86. Dallmann, C.; Schmidt, M.; Möst, D. Between path dependencies and renewable energy potentials: A case study of the Egyptian power system. Energy Strategy Rev. 2022, 41, 100848. [Google Scholar] [CrossRef]
  87. National Renewable Energy Laboratory (NREL). System Advisor Model (SAM); Version 2024.12.12; NREL: Golden, CO, USA, 2024. Available online: https://sam.nrel.gov/ (accessed on 2 October 2025).
  88. Egyptian Electricity Holding Company (EEHC). Annual Report 2017/2018; EEHC: Cairo, Egypt, 2018. Available online: http://www.moee.gov.eg/english_new/EEHC_Rep/2017-2018en.pdf (accessed on 18 October 2025).
  89. Energy Exemplar. PLEXOS Integrated Energy Model; Energy Exemplar: Adelaide, Australia, 2023; Available online: https://www.energyexemplar.com/ (accessed on 3 September 2025).
  90. U.S. Energy Information Administration (EIA). Capital Cost and Performance Characteristic Estimates for Utility Scale Electric Power Generating Technologies; EIA: Washington, DC, USA, 2020. Available online: https://www.eia.gov/analysis/studies/powerplants/capitalcost/ (accessed on 8 October 2025).
  91. Billinton, R.; Allan, R.N. Reliability Evaluation of Power Systems, 2nd ed.; Plenum Press: New York, NY, USA, 1996. [Google Scholar] [CrossRef]
  92. Gas Regulatory Authority (GASREG). Natural Gas Pricing; GASREG: Cairo, Egypt, 2021. Available online: https://gasreg.org/natural-gas-pricing/ (accessed on 1 September 2025).
  93. U.S. Environmental Protection Agency (EPA). Inventory of U.S. Greenhouse Gas Emissions and Sinks: 1990–2022; EPA: Washington, DC, USA, 2024. Available online: https://www.epa.gov/ghgemissions/inventory-us-greenhouse-gas-emissions-and-sinks (accessed on 2 November 2025).
  94. Independent Electricity System Operator (IESO). Single Schedule Market High-Level Design; IESO: Toronto, ON, Canada, 2019; Available online: https://www.ieso.ca/-/media/Files/IESO/Document-Library/mrp-design/high-level/SSM-High-Level-Design-Aug2019.pdf (accessed on 3 November 2025).
  95. Arezki, R.; Imbert, B.O.; Ouedraogo, A.R. Data Capacity and Transparency in MENA: Why They Might Matter for Growth. The Forum, Economic Research Forum, 10 May 2020. Available online: https://theforum.erf.org.eg/2020/05/10/data-capacity-transparency-mena-might-matter-growth/ (accessed on 5 November 2025).
  96. Petitet, M.; Felder, F.; Hasan, S.; Elshurafa, A. Modeling of the Interconnected Middle East and North Africa Electricity System: Including Uncertainties to Better Inform Policymakers; King Abdullah Petroleum Studies and Research Center (KAPSARC): Riyadh, Saudi Arabia, 2023; Available online: https://www.kapsarc.org/our-offerings/publications/modeling-of-the-interconnected-middle-east-and-north-africa-electricity-system-including-uncertainties-to-better-inform-policymakers/ (accessed on 11 November 2025).
  97. Al-Anbaki, I.; Al-Marhoun, A.N. Electricity trading in MENA: Huge potential but far behind. APICORP Energy Res. 2018, 3, 1–6. Available online: https://www.apicorp.org/wp-content/uploads/2021/12/Electricity-trading-in-MENA-huge-potential-but-far-behind.pdf (accessed on 9 January 2026).
  98. Al-Qadi, H. Bridging Borders with Energy: MENA Path to Regional Energy Integration. World Bank: Washington, DC, USA, 2024; Available online: https://www.worldbank.org/en/news/opinion/2024/12/10/bridging-borders-with-energy-mena-s-path-to-regional-energy-integration (accessed on 7 November 2025).
  99. IEEE Std 2686-2024; Recommended Practice for Battery Management Systems in Stationary Energy Storage Applications. IEEE: Piscataway, NJ, USA, 2025; pp. 1–89. [CrossRef]
  100. IEEE Std 1547-2018; Standard for Interconnection and Interoperability of Distributed Energy Resources with Associated Electric Power Systems Interfaces. IEEE: Piscataway, NJ, USA, 2018. Available online: https://ieeexplore.ieee.org/document/8332112 (accessed on 9 November 2025).
  101. International Renewable Energy Agency (IRENA). Egypt—Africa Renewable Energy Statistical Profile; IRENA: Abu Dhabi, United Arab Emirates, 2024. Available online: https://www.irena.org/-/media/Files/IRENA/Agency/Statistics/Statistical_Profiles/Africa/Egypt_Africa_RE_SP.pdf (accessed on 10 January 2026).
  102. International Renewable Energy Agency (IRENA). Energy Profile: Egypt; IRENA: Abu Dhabi, United Arab Emirates, 2023. Available online: https://www.irena.org/Data/Energy-Profiles (accessed on 12 January 2026).
  103. International Energy Agency (IEA). Evolution of Emissions from Power Generation by Source in Egypt Since 2000; IEA: Paris, France, 2024. Available online: https://www.iea.org/data-and-statistics/charts/evolution-of-emissions-from-power-generation-by-source-in-egypt-since-2000 (accessed on 12 January 2026).
  104. Mohamed, A.S.A.; Maghrabie, H.M. Techno-economic feasibility analysis of Benban solar Park. Alex. Eng. J. 2022, 61, 12593–12607. [Google Scholar] [CrossRef]
  105. European Bank for Reconstruction and Development (EBRD). Strategic Environmental & Social Impact Assessment: Benban 1.8 GW Photovoltaic Solar Park (NREA), Egypt—Final Report; EBRD: London, UK, 2016; Available online: https://www.ebrd.com/content/dam/ebrd_dxp/documents/owcs-archive/Environment/esia-48213sesa.pdf (accessed on 11 January 2026).
  106. Darwish, A.S.; Misko, O.N. Improving the energy sector and renewable energy resources in Egypt (challenges, achievements, and most important projects). Adm. Consult. 2023, 11, 132–139. [Google Scholar] [CrossRef]
  107. Elkelawy, M.; Saeed, A.M.; Seleem, H. Egypt’s Solar Revolution: A Dual Approach to Clean Energy with CSP and PV Technologies. Pharos Engineering Sci. J. 2025, 1, 39–50. [Google Scholar] [CrossRef]
  108. Wind Energy: The Facts. Egypt Overview. Available online: https://www.wind-energy-the-facts.org/egypt-3.html (accessed on 13 November 2025).
  109. Lekela Egypt. Environmental & Social Impact Assessment (ESIA) for Lekela BOO Wind Power Plant at Gulf of Suez; U.S. International Development Finance Corporation (DFC): Washington, DC, USA, 2018. Available online: https://www.dfc.gov/sites/default/files/esia/2018/lekelaboo/Main_ESIA.pdf (accessed on 9 January 2026).
Figure 1. Electricity sector governance structure in Egypt.
Figure 1. Electricity sector governance structure in Egypt.
Energies 19 00786 g001
Figure 2. Installed capacity structure in Egypt, 2022–2023.
Figure 2. Installed capacity structure in Egypt, 2022–2023.
Energies 19 00786 g002
Figure 3. Wind speed resource map of Egypt (m/s), highlighting high-potential renewable energy zones including Gabal El-Zeit and Ras Gharib. Source: Adapted from Mortensen et al. [21].
Figure 3. Wind speed resource map of Egypt (m/s), highlighting high-potential renewable energy zones including Gabal El-Zeit and Ras Gharib. Source: Adapted from Mortensen et al. [21].
Energies 19 00786 g003
Figure 4. Map of interconnected electricity transmission networks, illustrating cross-border interconnections between Egypt and neighboring regions including Saudi Arabia, Jordan, Libya, and Sudan.
Figure 4. Map of interconnected electricity transmission networks, illustrating cross-border interconnections between Egypt and neighboring regions including Saudi Arabia, Jordan, Libya, and Sudan.
Energies 19 00786 g004
Figure 5. Schematic representation of the modeling framework and scenario structure used to assess adequacy and operational performance under increasing renewable energy penetration.
Figure 5. Schematic representation of the modeling framework and scenario structure used to assess adequacy and operational performance under increasing renewable energy penetration.
Energies 19 00786 g005
Figure 6. Diurnal load pattern of Egypt.
Figure 6. Diurnal load pattern of Egypt.
Energies 19 00786 g006
Figure 7. Shows supply mix under hourly static dispatch without CBI.
Figure 7. Shows supply mix under hourly static dispatch without CBI.
Energies 19 00786 g007
Figure 8. Electricity supply mix under five-minute dynamic dispatch without CBI.
Figure 8. Electricity supply mix under five-minute dynamic dispatch without CBI.
Energies 19 00786 g008
Figure 9. Electricity supply mix under five-minute dynamic dispatch with 4070 MW CBI.
Figure 9. Electricity supply mix under five-minute dynamic dispatch with 4070 MW CBI.
Energies 19 00786 g009
Figure 15. Impact of operational flexibility measures and CBI capacity on Loss-of-Load Probability (LOLP) across renewable energy penetration levels.
Figure 15. Impact of operational flexibility measures and CBI capacity on Loss-of-Load Probability (LOLP) across renewable energy penetration levels.
Energies 19 00786 g015
Figure 16. Effect of CBI capacity and BESS on renewable curtailment under five-minute dynamic ED.
Figure 16. Effect of CBI capacity and BESS on renewable curtailment under five-minute dynamic ED.
Energies 19 00786 g016
Figure 17. Effect of dispatch resolution, CBI capacity, and storage on CO2 emissions under ED.
Figure 17. Effect of dispatch resolution, CBI capacity, and storage on CO2 emissions under ED.
Energies 19 00786 g017
Figure 18. Effect of reserve design, dispatch resolution, interconnection, and storage on reserve scarcity prices.
Figure 18. Effect of reserve design, dispatch resolution, interconnection, and storage on reserve scarcity prices.
Energies 19 00786 g018
Figure 19. Annual operational, generation, and fuel costs under 10% VRE penetration across alternative operational flexibility configurations.
Figure 19. Annual operational, generation, and fuel costs under 10% VRE penetration across alternative operational flexibility configurations.
Energies 19 00786 g019
Figure 20. Annual operational, generation, and fuel costs under 42% VRE penetration across alternative operational flexibility configurations.
Figure 20. Annual operational, generation, and fuel costs under 42% VRE penetration across alternative operational flexibility configurations.
Energies 19 00786 g020
Figure 21. Annual operational, generation, and fuel costs under 50% renewable penetration across alternative operational flexibility configurations.
Figure 21. Annual operational, generation, and fuel costs under 50% renewable penetration across alternative operational flexibility configurations.
Energies 19 00786 g021
Figure 22. Effect of CBI capacity on electricity exports under hourly dynamic dispatch.
Figure 22. Effect of CBI capacity on electricity exports under hourly dynamic dispatch.
Energies 19 00786 g022
Table 1. Summarize regional interconnection studies in Egypt and the MENA region.
Table 1. Summarize regional interconnection studies in Egypt and the MENA region.
StudyGeographic AreaScope and ContributionKey Limitations/Gaps
Aghahosseini et al. [77]MENA (100% renewable focus)Capacity-expansion modeling showing that integrated regional trading reduces CAPEX by 6% and OPEX by 13%.Does not capture operational reserves, real-time dispatch, or reliability impacts.
Timilsina and Curiel [78]MENA (2018–2035)OSeMOSYS-based regional model showing that coordinated trade lowers total system cost by 6.7% (~USD 90 billion) and reduces emissions under carbon pricing.Hourly and highly aggregated representation; Egypt analyzed at system-level without dispatch or reliability assessment.
Taliotis et al. [79]Eastern Mediterranean (17 countries)Regional electricity-trade model showing approximately 25% energy system cost reduction under deep-decarbonization pathways.Does not examine short-term reserve requirements, dispatch variability, or system reliability.
Alkhal et al. [80]Egypt, Iraq, Jordan, Lebanon, SyriaLinear optimization for coordinated planning showing 13% CAPEX reduction through shared reserve capacity.Does not include economically dispatched interconnection; ignores short-term variability and reserve dynamics.
Mondal and Ringler [81]Eastern Nile Basin (Egypt, Sudan, Ethiopia)TIMES-based modeling showing that cross-border trade reduces system costs by 4.5–7.2% while improving energy security and emissions performance.Focuses on transmission expansion; excludes operational dispatch and reserve interactions.
Petitet et al. [82]GCC, Egypt, Jordan, IraqPLEXOS-based dispatch analysis showing 1.6% cost savings, 8 Mt CO2 reduction, and 35% curtailment reduction when comparing bilateral and market-based trading.Lacks explicit reliability benchmarks; does not consider sub-hourly dispatch or broader MENA-wide integration.
Table 2. Summary of previous studies on Egypt’s power system.
Table 2. Summary of previous studies on Egypt’s power system.
StudyModel UsedScope and Time HorizonVRE TargetKey Limitations (Compared to Current Study)
Rady et al. (2018) [83]OSeMOSYS (Long-Term GEP)Long-term planning and scenario analysis to 2040.22% target by 2022.Long-term capacity-expansion focus; highlights discount-rate and fossil-fuel sensitivity. Does not assess high-resolution operational flexibility or the combined value of CBI with BESS.
Mondal et al. (2019) [84]TIMES (Long-Term Optimization)Optimization supporting Egypt’s Vision 2030 goals.Scenario-based VRE targets.Focused on CO2 mitigation, energy security, and gas constraints; omits economic dispatch and flexibility modeling.
Abdelzaher et al. (2020) [85]FEPL-MILP (GEP)Generation Expansion Planning with high VRE shares.High VRE penetration.Identifies optimal thermal mix for variability management; lacks detailed economic dispatch or combined-flexibility (CBI with BESS) analysis.
Dallmann et al. (2022) [86]OSeMOSYS (Long-Term GEP)Regional expansion and transmission impacts to 2042.42% VRE by 2035 (plan assessment).Examines transmission expansion across eight sub-regions; omits integrated flexibility impacts on reliability.
Table 3. Scenario matrix.
Table 3. Scenario matrix.
ReserveTime ResolutionInterconnection and BESS ConfigurationRenewable Penetration LevelsScenario
StaticHourlyStandalone10%, 25%, 37%, 42%, 50%S1–S5
Static5 minStandalone10%, 25%, 37%, 42%, 50%S6–S10
StaticHourly4070 MW (SA, JO, LY, SD)10%, 25%, 37%, 42%, 50%S11–S15
Static5 min4070 MW (SA, JO, LY, SD)10%, 25%, 37%, 42%, 50%S16–S20
DynamicHourlyStandalone10%, 25%, 37%, 42%, 50%D1–D5
Dynamic5 minStandalone10%, 25%, 37%, 42%, 50%D6–D10
DynamicHourly4070 MW (SA, JO, LY, SD)10%, 25%, 37%, 42%, 50%D11–D15
Dynamic5 min4070 MW (SA, JO, LY, SD)10%, 25%, 37%, 42%, 50%D16–D20
Dynamic5 minFuture configuration (8000 MW interconnection + 8000 MWh BESS)42%, 50%D21–D22
Note: SA = Saudi Arabia, JO = Jordan, LY = Libya, SD = Sudan (Battery Storage: 20 units × 400 MW, grid-connected utility-scale).
Table 4. Installed capacity by technology in Egypt (2023).
Table 4. Installed capacity by technology in Egypt (2023).
TechnologyInstalled Capacity (MW)
Combined-Cycle Power Plants (CCGT)31,835
Steam Power Plants (SPP)16,709
Gas Turbines (OCGT)2799
Renewable Energy (Wind, PV, CSP)6418
Table 5. Installed renewable capacity by penetration scenario.
Table 5. Installed renewable capacity by penetration scenario.
Penetration LevelSolar PV (MW)CSP (MW)Wind (MW)Hydro (MW)Total VRE (MW)
10%15344201632.3228326418.32
25%673417206932.32283218,218.32
37%11,934302012,232.32283230,018.32
42%17,134302015,232.32283238,218.32
50%22,334432020,532.32283250,018.32
Table 6. Technical and cycling cost parameters for conventional generators.
Table 6. Technical and cycling cost parameters for conventional generators.
TechnologyStartup Cost (USD/MW)Min. Stable Level (% of Capacity)Ramp Rate (%/Min)Min. Up Time (h)Min. Down Time
(h)
Combined Cycle (CCGT)4530%1044
Open Cycle (OCGT)4030%2011
Steam Power Plant (SPP)8330%355
Table 7. Fixed and variable O&M costs for generation technologies.
Table 7. Fixed and variable O&M costs for generation technologies.
TechnologyFixed O&M (USD/kW yr)Variable O&M (USD/MWh)
Combined Cycle (CCGT)12.22.302
Steam Power Plant15.00.14
Gas Turbine7.00.50
Wind26.5
PV15.25
CSP80.0
Table 8. Fuel price and emission factors (Egypt).
Table 8. Fuel price and emission factors (Egypt).
FuelPrice (USD/MMBTU)CO2 (lb/MMBTU)NOx (lb/MMBTU)SO2 (lb/MMBTU)
Natural Gas4.00118.000.080.0006
Table 9. Dynamic operating-reserve configuration in PLEXOS.
Table 9. Dynamic operating-reserve configuration in PLEXOS.
ReserveFunctionResponse TimeLoad RiskVoRS (USD/MW)
Regulation Up (AGC Raise)Corrects under-generation and negative VRE forecast errors300 s1%6000
Regulation Down (AGC Lower)Absorbs excess generation during high VRE periods300 s1%6000
Dynamic Contingency SpinningCovers rare, high-impact outages600 s3%6000
Table 10. Fuel price normalization assumptions for regional economic dispatch.
Table 10. Fuel price normalization assumptions for regional economic dispatch.
CountryNormalized Gas Price (USD/MMBTU)Rationale
Saudi Arabia and Libya2.5Reflects minimum opportunity cost floor for export-capable producers
Jordan4.0Harmonized with Egypt’s industrial gas pricing to reduce extreme cost differentials
Sudan5.0Sudan’s generation mix (65% Hydro and high-cost HFO) was represented by an average cost to avoid the price volatility associated with high-cost HFO while still reflecting a cost higher than the regional gas-fired generation
Table 11. Characteristics of interconnected systems and exchange capacities with Egypt based on literature.
Table 11. Characteristics of interconnected systems and exchange capacities with Egypt based on literature.
CountryAnnual Electricity Consumption (MWh)Peak Demand (MW)Current and Ongoing Interconnection Capacity with Egypt (MW)
Jordan~19,944,000~3950450
Libya~42,705,000~9000240
Saudi Arabia~326,951,000~64,2723000
Sudan~16,235,000~3500340
Table 12. Technical parameters of BESS portfolio.
Table 12. Technical parameters of BESS portfolio.
AttributeValue
Energy Capacity400 MWh
Max Power Rating400 MW
Charge Efficiency95%
Discharge Efficiency93%
Roundtrip Efficiency~88.35%
SOC Limits (Min/Max)10%/100%
Lifetime20 years
Table 13. Operational, economic, and environmental performance of 50% renewable energy scenarios under alternative dispatch, reserve, interconnection, and storage configurations.
Table 13. Operational, economic, and environmental performance of 50% renewable energy scenarios under alternative dispatch, reserve, interconnection, and storage configurations.
ScenarioLOLP (%)Curtailment (GWh)Reserve Scarcity Price (USD/MW)Generation Cost
(Million USD)
Total Operational Cost
(Million USD)
Fuel Cost (Million USD)CO2 Emissions (Million Ton)
Hourly, Static Reserve, No CBI96.515,50042.321832183180626.66
5 min, Static Reserve, No CBI96.514,60042.619462157178426.32
Hourly, Dynamic Reserve, No CBI96.514,80014.418962102172825.48
5 min, Dynamic Reserve, No CBI96.514,00014.218732077170625.19
Hourly, Static Reserve, CBI 4070 MW0.30657038.615461653141920.94
5 min, Static Reserve, CBI 4070 MW0.30589038.815031610138020.37
Hourly, Dynamic Reserve, CBI 4070 MW0.29620011.014621567133219.66
5 min, Dynamic Reserve, CBI 4070 MW0.29539010.514121512128518.97
Hourly, Dynamic Reserve, CBI 8000 MW0.5016405.7312991349118317.46
5 min, Dynamic Reserve + BESS, CBI 8000 MW0.002880.0111201143102015.05
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Tawoos, A.H.; Cho, K.-w.; Park, S.-j. De-Risking the Transition: Quantifying the Security and Economic Value of Dynamic Dispatch and Integrated BESS–Interconnection Strategies for Egypt’s High-Renewable Grid. Energies 2026, 19, 786. https://doi.org/10.3390/en19030786

AMA Style

Tawoos AH, Cho K-w, Park S-j. De-Risking the Transition: Quantifying the Security and Economic Value of Dynamic Dispatch and Integrated BESS–Interconnection Strategies for Egypt’s High-Renewable Grid. Energies. 2026; 19(3):786. https://doi.org/10.3390/en19030786

Chicago/Turabian Style

Tawoos, ALshaimaa Hamdy, Kang-wook Cho, and Soo-jin Park. 2026. "De-Risking the Transition: Quantifying the Security and Economic Value of Dynamic Dispatch and Integrated BESS–Interconnection Strategies for Egypt’s High-Renewable Grid" Energies 19, no. 3: 786. https://doi.org/10.3390/en19030786

APA Style

Tawoos, A. H., Cho, K.-w., & Park, S.-j. (2026). De-Risking the Transition: Quantifying the Security and Economic Value of Dynamic Dispatch and Integrated BESS–Interconnection Strategies for Egypt’s High-Renewable Grid. Energies, 19(3), 786. https://doi.org/10.3390/en19030786

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop