The paper also discusses microgrids'' structural and functional design and highlights the need for interdisciplinary collaboration between power system engineers, data scientists, and control...
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This Special Issue invites contributions from researchers, industry experts, and policymakers that explore the latest developments, breakthroughs, and future directions in microgrid and smart grid
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Microgrid technology integration at the load level has been the main focus of recent research in the field of microgrids. The conventional power grids are now obsolete since it is difficult
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While this paper focuses on microgrids in areas with existing centralized electrical grids, it is important to remember that they also present many advantages to rural and remote communities in
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This paper explores recent advancements in microgrid technologies, emphasizing renewable energy integration, fault tolerance, and control optimization.
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Microgrids (MGs) provide a promising solution by enabling localized control over energy generation, storage, and distribution. This paper presents a novel reinforcement learning (RL)-based
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This paper synthesizes recent advancements and applications of DRL algorithms such as Deep Q-Networks (DQN), Deep Deterministic Policy Gradient (DDPG), and Proximal Policy Optimization
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This paper presents a systematic literature review encompassing recent advancements in MG technology. It delves into MG architecture, diverse control objectives, associated
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As our reliance on traditional power grids continues to increase, the risk of blackouts and energy shortages becomes more imminent. However, a microgrid system,
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A microgrid, regarded as one of the cornerstones of the future smart grid, uses distributed generations and information technology to create a widely distributed automated energy delivery
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