This review examines critical areas such as reinforcement learning, multi-agent systems, predictive modeling, energy storage, and optimization algorithms—essential for improving microgrid efficiency and reliability.
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Summary: Solar thermal power generation relies heavily on efficient energy storage to overcome intermittent sunlight availability. This article explores mainstream storage technologies like molten salt systems, phase-change materials, and thermochemical storage while analyzing.
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This study examines the most effective deployment tactics for microgrids, concentrating on topology enhancement through reinforcement learning and multi-agent-based hierarchical control strategies, with the goal of enhancing the cooperative operational efficiency among microgrid.
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