为解决电力市场环境下区域多微网间的协作问题,构建了基于合作博弈论的微网群日前能量/备用共享调度模型。首先,计及风电、光伏和负荷预测的不确定性,提出了适用于单个微网和微网群的日前调度模型。随后,将自适应鲁棒优化应用于求解能量/备用共享调度问题。其次,为保障各微网的收益及联盟的稳定性,采用凸博弈对多微网协作产生的利益进行分配。最后,通过与两阶段鲁棒优化和蒙特卡洛仿真的对比分析,验证了自适应鲁棒优化求解微网能量/备用调度模型的保守性和可行性;进一步地,微网群的测试结果验证了凸博弈应用于多微网间利益分配的合理性。
To solve coordination problem of multiple interconnected microgrids under deregulated power market, an energy/reserve sharing dispatch method was proposed based on cooperation game theory. Joint day-ahead energy/reserve dispatch models for single microgrid and for a group of microgrids were proposed. Adaptive robust optimization was employed to solve these dispatch models. To guarantee each microgrid's benefit and coalition stability, convex game theory was applied to distribute benefits among multiple microgrids. Compared with results of two-stage robust optimization and Monte-Carlo simulation, conservatism and feasibility of adaptive robust optimization was demonstrated. Finally, feasibility of convex game to distributed benefits was verified with simulation results of a group of three microgrids.