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Novel Energy Management Approaches in Microgrid Systems, 2nd Edition

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "A1: Smart Grids and Microgrids".

Deadline for manuscript submissions: 25 June 2026 | Viewed by 2592

Special Issue Editors


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Guest Editor
Department of Electrical & Computer Engineering, University of Western Macedonia, 50100 Kozani, Greece
Interests: distributed generation; smart grids; microgrids; electromagnetic compatibility; power system simulation
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Electrical & Computer Engineering, University of Western Macedonia, 50100 Kozani, Greece
Interests: distributed generation; smart grids; microgrids
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The second edition of this Energies Special Issue, entitled 'Novel Energy Management Approaches in Microgrid Systems, 2nd Edition', builds upon the success of the first edition by further advancing the discourse on the topic. This edition continues to gather cutting-edge research on microgrid systems.

Due to large amounts of distributed generation (DG) connected lately to the low-voltage (LV) and medium-voltage (MV) networks, many important issues have risen: (a) some parameters of the grid cannot be measured accurately, (b) more renewable energy units are difficult to connect to the grid, (c) regular maintenance activities are now difficult or even prohibited due to the thermal capability or to voltage values, and (d) electricity grid protection has become more complicated now. Therefore, reliable, cost-effective communication and control schemes are needed in order to ensure the stable operation of the grid and keep the power quality indices inside their limits. These energy management schemes should ensure: (a) reliable measurement, (b) interoperability of different communication protocols, (c) new control schemes and techniques of distributed generation with low cost intervention and legal compatibility, and (d) that the new devices on the grid must be taken into account, such as energy storage, electric vehicles and their charging systems.

Dr. Dimitrios A. Tsiamitros
Dr. Dimitrios Stimoniaris
Guest Editors

Manuscript Submission Information

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Keywords

  • distributed generation (DG) control
  • energy management system interoperability
  • storage system control
  • electric vehicles to grid (V2G) and grid to electric vehicle (G2V) schemes
  • network operations in cases of increased DGs
  • microgrid management systems

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Related Special Issue

Published Papers (3 papers)

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Research

22 pages, 3712 KB  
Article
Research on Multi-Time-Scale Optimal Control Strategy for Microgrids with Explicit Consideration of Uncertainties
by Dantian Zhong, Huaze Sun, Duxin Sun, Hainan Liu and Jinjie Yang
Energies 2026, 19(8), 1960; https://doi.org/10.3390/en19081960 - 18 Apr 2026
Viewed by 239
Abstract
Distributed generation (DG) exhibits inherent volatility and intermittency, and its grid-integration expansion presents formidable challenges to microgrid regulation and control. Conventional control strategies often neglect the uncertainties associated with renewable energy generation and the coordinated management of flexible resources. This paper proposes a [...] Read more.
Distributed generation (DG) exhibits inherent volatility and intermittency, and its grid-integration expansion presents formidable challenges to microgrid regulation and control. Conventional control strategies often neglect the uncertainties associated with renewable energy generation and the coordinated management of flexible resources. This paper proposes a multi-time-scale optimal control strategy for microgrids that explicitly accounts for uncertainty. The strategy integrates a collaborative scheduling framework for assets, including electric vehicles (EVs) and energy storage systems, alongside a stochastic optimization model for microgrids that comprehensively incorporates uncertainties from wind and solar power generation, EV operations, and load forecasting errors. The improved Archimedean chaotic adaptive whale optimization algorithm is utilized to solve the optimal scheduling model, while the Latin hypercube sampling (LHS) technique is employed to address uncertainty-related problems in the optimization process. Case study results demonstrate that, in comparison with traditional optimal scheduling strategies, the proposed approach more effectively mitigates uncertainties in real-world operations, reduces microgrid operational risks, achieves a significant reduction in scheduling costs, and concurrently fulfills the dual objectives of microgrid economic efficiency and operational security. Full article
(This article belongs to the Special Issue Novel Energy Management Approaches in Microgrid Systems, 2nd Edition)
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21 pages, 5248 KB  
Article
Application of Battery and Flywheel Energy Storage Systems for Frequency Regulation in the Honduran Power Grid
by Danae Tome-Amador, Cristopher Varela-Aguilera, Dennis A. Rivera-López and Jonathan Muñoz Tabora
Energies 2025, 18(23), 6287; https://doi.org/10.3390/en18236287 - 29 Nov 2025
Cited by 2 | Viewed by 1090
Abstract
The increasing penetration of inverter-based renewable generation has reduced rotational inertia in power systems worldwide, causing steeper frequency drops after severe contingencies and increasing the risk of load shedding. In the Honduran context, this study evaluates the dynamic response of the National Interconnected [...] Read more.
The increasing penetration of inverter-based renewable generation has reduced rotational inertia in power systems worldwide, causing steeper frequency drops after severe contingencies and increasing the risk of load shedding. In the Honduran context, this study evaluates the dynamic response of the National Interconnected System (NIS) operating in island mode through detailed DIgSILENT PowerFactory simulations, explicitly incorporating the national Under-Frequency Load Shedding (UFLS) scheme. Five disturbance scenarios were analyzed, including generation losses of 100 MW, 200 MW, and 262 MW, to assess the frequency support provided by Battery Energy Storage Systems (BESSs) and Flywheel Energy Storage Systems (FESSs). Results show that, in the base case, frequency decreased to 55.3 Hz during a 200 MW loss, confirming the system’s high vulnerability. The integration of a 75 MW BESS improved frequency stability to 58.74 Hz, preventing UFLS activation, while a 320 MW equivalent FESS provided only short-term inertial support with limited effectiveness. Quantitatively, the BESS reduced the minimum frequency, delayed UFLS activation by approximately 3.5 s, and provided sustained support, whereas the FESS contributed mainly during the first 5 s of the disturbance. In the most severe contingency (262 MW generation loss), the combined operation of BESS and FESS prevented total system collapse, improving the frequency nadir to 58.6 Hz. These results confirm that BESS provides more robust and sustained frequency support than FESS under the analyzed conditions, highlighting its effectiveness for improving system stability in low-inertia networks such as Honduras. The findings offer useful insights for future studies on storage integration and frequency regulation strategies. Full article
(This article belongs to the Special Issue Novel Energy Management Approaches in Microgrid Systems, 2nd Edition)
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29 pages, 9544 KB  
Article
Net-Zero and Multimodal Mobility Project Through PV-Battery-EV in the Amazon
by Bruno Santana de Albuquerque, Ayrton Lucas Lisboa do Nascimento, Maria Emília de Lima Tostes, Ubiratan Holanda Bezerra, Carminda Célia Moura de Moura Carvalho and Jonathan Muñoz Tabora
Energies 2025, 18(22), 6014; https://doi.org/10.3390/en18226014 - 17 Nov 2025
Cited by 1 | Viewed by 827
Abstract
The global transition toward sustainable mobility and renewable energy integration demands intelligent energy management frameworks capable of coupling electric mobility, distributed generation, and energy storage. This study presents a comprehensive evaluation of the SIMA Project (Sistema Inteligente Multimodal da Amazônia), an innovative mobility [...] Read more.
The global transition toward sustainable mobility and renewable energy integration demands intelligent energy management frameworks capable of coupling electric mobility, distributed generation, and energy storage. This study presents a comprehensive evaluation of the SIMA Project (Sistema Inteligente Multimodal da Amazônia), an innovative mobility pilot implemented at the Federal University of Pará, Brazil. The SIMA consists of the monitoring building, photovoltaic systems, lithium-based energy storage systems, and electric transportation modes (including urban and intercity buses, as well as a solar-powered catamaran), all interconnected within a microgrid. Field monitoring, data processing, and simulation analyses were conducted to assess energy performance, consumption patterns, and the operational feasibility of these electric systems under Amazonian conditions. The results indicate that the PV systems supply most of the SIMA’s demand, with the laboratory building accounting for 70% of total consumption and electric vehicles for 30%. Simulated full operation scenarios reveal the potential for near net-zero energy balance when energy management strategies are applied to generation, storage and charging. The findings demonstrate the technical viability of integrated mobility–energy systems in tropical contexts and provide practical insights for future low-carbon transport infrastructures in isolated or city-scale networks. Full article
(This article belongs to the Special Issue Novel Energy Management Approaches in Microgrid Systems, 2nd Edition)
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