考虑需求侧能量互济的多微电网混合博弈优化方法  

Hybrid game optimization method of multiple microgrids considering demand-side energy reciprocity

作　　者：吴晓宇 刘天羽(指导)[1] WU Xiaoyu;LIU Tianyu(School of Electrical Engineering,Shanghai Dianji University,Shanghai 201306,China)

机构地区：[1]上海电机学院电气学院,上海201306

出　　处：《上海电机学院学报》2024年第4期192-197,204,共7页Journal of Shanghai Dianji University

基　　金：国家自然科学基金青年项目(61803253)。

摘　　要：针对多微电网(MG)各主体利益不一致的问题,提出一种考虑需求侧能量互济的多MG混合博弈优化调度方法。首先,分别构建上层系统运营商(DSO)与MG联盟、共享储能运营商(SESO)间的主从博弈模型和下层MG联盟合作博弈模型。其次,DSO作为博弈主体以自身效益最大化为目标,通过制定购售电价进而引导从体MG联盟和SESO优化;下层MG联盟基于纳什议价理论将合作博弈模型分解成联盟整体效益最大化和利益分配两个子问题,对上层发布的价格信息做出反应以实现合作收益的公平分配。最后,利用粒子群算法内嵌CPLEX求解器结合交替方向乘子法求解模型。结果表明:所建模型在实现各主体协调运行的同时,兼顾了各主体利益。To solve the problem of inconsistent interests of various entities in multi-microgrid(MG),a hybrid game optimization scheduling method of multi-microgrid considering demand-side energy reciprocity is proposed.First,the Stackelberg game model between the upper-layer system operator(DSO)and the MG alliance and the shared energy storage operator(SESO)and the lower-level MG alliance cooperative game model are constructed respectively.Second,as the main body of the game,the DSO aims to maximize its benefits,and then guides the optimization of the subordinate MG alliance and SESO by formulating electricity prices of the purchase and sale.The lower MG alliance decomposes the cooperative game model into two sub-problems of maximizing the overall benefits of the alliance and the distribution of benefits based on the Nash bargaining theory,and responds to the price information released by the upper layer to achieve the fair distribution of cooperative benefits.Finally,the particle swarm optimization embedded CPLEX solver combined with the alternating direction multiplier method is used to solve the model.The results show that the proposed model can consider the interests of various entities while the coordinated operation of various entities is obtained.

关 键 词：多微电网系统 混合博弈 需求侧能量互济 共享储能 

分 类 号：TM73[电气工程—电力系统及自动化]