Advancing Energy Systems for a Decarbonized Future: Renewable Integration, Smart Grids, and Optimization Strategies

A special issue of Electricity (ISSN 2673-4826).

Deadline for manuscript submissions: 30 November 2025 | Viewed by 714

Special Issue Editors


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Guest Editor
Department of Electrical and Electronic Engineering, Joongbu University, 305 Dongheon-ro, Deogyang-gu, Goyang-si 10279, Gyeonggi-do, Republic of Korea
Interests: energy system operation and planning; energy system optimization; power system flexibility; renewable energy resource integration into power system; sensitivity analysis
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Netzero Lab., Gwangmyeong-si, Republic of Korea
Interests: grid-forming inverter; ESS for power system integration; planning and operation of power electronic equipment (HVDC and FACTS); electro-magnetic simulation; hardware-in-the loop test with real-time simulator; DC grid planning and operation; control and protection of modular multilevel converter HVDC
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The transition to a decarbonized society necessitates a comprehensive transformation of energy systems, driven by the increasing penetration of renewable energy sources (RESs) and energy storage systems (ESSs). To address emerging challenges and opportunities, the integration of artificial intelligence (AI) and big data analytics is enabling smarter grid management, enhanced demand-side flexibility, and broader market participation. Moreover, advanced control strategies, energy storage optimization, and distributed energy resource (DER) are crucial for ensuring grid reliability and resilience, while microgrids solutions enhance energy accessibility. The expansion of electricity markets calls for innovative pricing models and financial incentives to accelerate renewable energy adoption, paving the way for a more sustainable and resilient net-zero energy future. This Special Issue discusses the following topics:

  1. Implementation of Net-Zero Energy Systems;
  2. Renewable Energy Integration and Optimization;
  3. Smart Grids and Distributed Energy Resources (DERs);
  4. AI and Big Data Applications in Power Systems;
  5. Energy Storage Systems and Demand Response;
  6. Pricing Mechanisms for Promoting Renewable Energy;
  7. Operational Strategies for Microgrids;
  8. Advanced Control Strategies for Power Systems;

Dr. Changgi Min
Dr. Heejin Kim
Guest Editors

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Keywords

  • artificial intelligence
  • power system control
  • demand response
  • distributed energy resources
  • energy storage system
  • energy system planning
  • microgrids
  • net-zero energy system
  • optimization technique
  • photovoltaics (PV)
  • pricing mechanism
  • renewable energy
  • smart grid
  • wind power

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Published Papers (1 paper)

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Research

31 pages, 2286 KB  
Article
Techno-Economic Analysis of Peer-to-Peer Energy Trading Considering Different Distributed Energy Resources Characteristics
by Morsy Nour, Mona Zedan, Gaber Shabib, Loai Nasrat and Al-Attar Ali
Electricity 2025, 6(4), 57; https://doi.org/10.3390/electricity6040057 - 4 Oct 2025
Viewed by 131
Abstract
Peer-to-peer (P2P) energy trading has emerged as a novel approach to enhancing the coordination and utilization of distributed energy resources (DERs) within modern power distribution networks. This study presents a techno-economic analysis of different DER characteristics, focusing on the integration of photovoltaic [...] Read more.
Peer-to-peer (P2P) energy trading has emerged as a novel approach to enhancing the coordination and utilization of distributed energy resources (DERs) within modern power distribution networks. This study presents a techno-economic analysis of different DER characteristics, focusing on the integration of photovoltaic (PV) systems and energy storage systems (ESS) within a community-based P2P energy trading framework in Aswan, Egypt, under a time-of-use (ToU) electricity tariff. Eight distinct cases are evaluated to assess the impact of different DER characteristics on P2P energy trading performance and an unbalanced low-voltage (LV) distribution network by varying the PV capacity, ESS capacity, and ESS charging power. To the best of the authors’ knowledge, this is the first study to comprehensively examine the effects of different DER characteristics on P2P energy trading and the associated impacts on an unbalanced distribution network. The findings demonstrate that integrating PV and ESS can substantially reduce operational costs—by 37.19% to 68.22% across the analyzed cases—while enabling more effective energy exchanges among peers and with the distribution system operator (DSO). Moreover, DER integration reduced grid energy imports by 30.09% to 63.21% and improved self-sufficiency, with 30.10% to 63.21% of energy demand covered by community DERs. However, the analysis also reveals that specific DER characteristics—particularly those with low PV capacity (1.5 kWp) and high ESS charging rates (e.g., ESS 13.5 kWh with 2.5 kW inverter)—can significantly increase transformer and line loading, reaching up to 19.90% and 58.91%, respectively, in Case 2. These setups also lead to voltage quality issues, such as increased voltage unbalance factors (VUFs), peaking at 1.261%, and notable phase voltage deviations, with the minimum Vb dropping to 0.972 pu and maximum Vb reaching 1.083 pu. These findings highlight the importance of optimal DER sizing and characteristics to balance economic benefits with technical constraints in P2P energy trading frameworks. Full article
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