基于主从博弈的多微电网系统经济优化方法

随着售电侧电力市场改革的深入，研究多微电网系统的经济优化问题具有重要意义。针对多微电网系统，提出了一种基于主从博弈的经济优化方法。该方法主要由日前优化阶段与实时优化阶段组成。在日前优化阶段，微电网运营商根据日前预测信息和电网电价信息，优化储能单元的日前调度计划；在实时优化阶段，系统运营商根据实时预测信息，通过构建主从博弈模型求解内部最优电价，鼓励微电网运营商参与多微电网系统的电能交易，提升微电网之间的能量共享水平。算例结果表明，本文所提的两阶段经济优化方法可以有效地提升微电网运营商与系统运营商的经济效益，同时降低了多微电网系统的净负荷峰均比。

Master-Slave Game Based on Economic Optimization Method of Multi-Microgrid System

With the deepening reform of the electricity market on the sale side, it is of great significance to study the economic optimization of multi-microgrid (MMG) system. This paper proposes a master-slave game based economic optimization method of MMG system, which consists of day-ahead optimization stage and real-time optimization stage. In the day-ahead optimization stage, the microgrid operator (MGO) optimizes the schedule of the energy storage units based on the day-ahead forecast information and grid price information; In the real-time optimization stage, the system operator (SO) solves the internal optimal price by constructing master-slave game model based on the real-time forecast information, encourages MGO to participate in energy trading in MMG system, and improves energy sharing between microgrids. The results of case studies show that the two-stage economic optimization method proposed in this paper can effectively improve the benefits of MGO and SO, and reduce the peak-to-average load ratio of MMG system.