Hierarchical Energy Optimization Management for Multi-microgrid Based on Potential Game and Nash Bargaining Game

Multi-microgrid systems offer a flexible, reliable, efficient, and sustainable energy solution, holding significant importance for achieving efficient utilization of renewable energy. To address the issue of high coupling between the upper and lower layers in the operational optimization of multi-microgrid systems, this paper proposes a multi-microgrid energy management system. In this system, the lower-level single microgrid optimization adopts a potential game-based optimization method, while the upper-level multi-microgrid optimization adopts a Nash bargaining game-based approach. This method enables energy optimization and scheduling of the multi-microgrid system with low coupling between the upper and lower layers, while considering the individual entities’ requirements for self-interest, fairness, privacy, and the overall system’s demand for scalability within the multi-microgrid system.