Research and application on key technologies of microgrid cluster cooperative scheduling control
Xiang Ma, Xin Song · 2025
With the rapid development of renewable energy, microgrid, as an efficient and flexible energy management system, has gradually been widely used in the world. 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 clusters. It introduces mathematical models for renewable energy generation units like wind and solar power, offering a theoretical foundation for optimal dispatch. The paper's objective is to boost the microgrid's stability and energy efficiency, mitigate the effects on the power grid when the microgrid is integrated, and lessen the stress and energy dissipation on the grid. Despite providing an initial theoretical structure, practical implementation challenges, including data unpredictability and environmental adaptability, remain to be addressed.