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. 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. Microgrid is an effective way to make full use of distributed energy resources. It has great significance to both economy and society. Due to the variety of distributed energy resources and the complicated operation modes of microgrid, the planning, operation, protection, control, simulation and. With the rapid development of renewable energy, microgrid, as an efficient and flexible energy management system, has gradually been widely used in the world. Hence, to address these issues, an effective control system is essential. Therefore, in this research work, a.
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