This review critically examines the integration of Artificial Intelligence (AI) and Deep Reinforcement Learning (DRL) into smart microgrid platforms, focusing on their role in optimizing sustainable e...
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The applications and types of microgrid are introduced first, and next, the objective of microgrid control is explained. Microgrid control is of the coordinated control and local control categories.
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Regarding the smart technologies used in the production of renewable energy for applications in microgrids, two main approaches predominated—artificial neural networks (ANN) and
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This paper''s goal is to provide a comprehensive analysis of distributed management and control strategies for contemporary power systems, with an emphasis on micro-grids. This paper
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Due to increasing the load demand, the conventional power systems dramatically more revolution happened. Till the traditional power system is need to improve in.
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In the present day, a smart microgrid is all about electronic communication networks, electronic billing systems, and smart meters. The smart microgrid will be equipped with automated
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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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Regarding the smart technologies used in the production of renewable energy for applications in microgrids, two main approaches
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The integration of artificial intelligence, blockchain technology, and digital twin models is explored in the context of enhancing microgrid reliability, resilience, and efficiency.
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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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State-of-the-art frameworks and tools are built into innovative grid technologies to model different structures and forms of microgrids and their dynamic behaviors. Smart grids'' dynamic models were
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The smart microgrid is a brand-new configuration model that can manage and control the energy within the entire system, and enable the distributed power generation system to concentrate the
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