To sum up, smart microgrids typify a sophisticated energy management system that blends physical infrastructure with intelligent control and cyber-communication technologies.
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Abstract—Model predictive control (MPC)-based energy man-agement systems (EMS) are essential for ensuring optimal, secure, and stable operation in microgrids with high penetrations of
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This paper presents the enhanced operation of a standalone DC microgrid (DCMG) consisting of PV, Fuel cell (FC), battery and supercapacitor (SC). Intermittent variations in PV power
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This paper evaluates MG control strategies in detail and classifies them according to their level of protection, energy conversion, integration,
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The proposed framework effectively integrates quantum-inspired AI, intelligent microgrid management, and autonomous robotics, offering a novel approach to energy coordination in cyber
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This study focuses on a sustainable microgrid-based hybrid energy system (HES), primarily focusing on analyzing the performance of the fuel cell and its impact
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The primary objective of this paper is to present a method utilizing deep neural networks (DNNs) for effective microgrid control. Through training the DNN network, it becomes capable of
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Effective control systems are essential for ensuring smooth integration, managing energy storage systems, and maintaining microgrid safety. In this study, a review of recent control methods
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For a DC microgrid that includes photovoltaic (PV) generation, fuel cells, battery storage, and EV charging infrastructure, this research proposes an optimized PI-based hybrid energy
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This review examines various control strategies, including demand response, energy storage management, data management, and load management, and highlights the potential of
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