基于主从博弈的有源配电网多利益主体协同优化  

Multi-stakeholder Collaborative Optimization of Active Distribution Network Based on Master-Slave Game

作　　者：张雄 宋海博 何玉灵[1,2,3] 王玉玮[4] 吴学伟 郇嘉嘉 ZHANG Xiong;SONG Haibo;HE Yuling;WANG Yuwei;WU Xuewei;HUAN Jiajia(School of Energy Power and Mechanical Engineering,North China Electric Power University,Baoding 071003,China;Hebei Engineering Research Center for Advanced Manufacturing and Intelligent Operation and Maintenance of Electric Power Machinery,North China Electric Power University,Baoding 071003,China;Baoding Key Laboratory of Power Equipment Diagnosis and Detection Technology,North China Electric Power University,Baoding 071003,China;Department of Economics and Management,North China Electric Power University,Baoding,071003,China;Power Grid Planning and Research Center of Guangdong Power Grid Co.,Ltd.,Guangzhou 510030,China)

机构地区：[1]华北电力大学能源动力与机械工程学院,河北保定071003 [2]电力机械装备先进制造与智能运维河北省工程研究中心(华北电力大学),河北保定071003 [3]保定市电力设备故障诊断与检测技术重点实验室(华北电力大学),河北保定071003 [4]华北电力大学经济管理系,河北保定071003 [5]广东电网有限责任公司电网规划研究中心,广东广州510030

出　　处：《电力科学与工程》2025年第4期52-62,共11页Electric Power Science and Engineering

基　　金：国家自然科学基金资助项目(52105098);河北省高等学校科学技术研究重点项目(ZD2022162);河北省自然科学基金项目资助(E2021502038);北京市自然科学基金资助项目(9222028);中央高校基本科研业务费专项资金资助项目(2023MS130);南方电网公司科技项目(GDKJXM20230402)。

摘　　要：针对市场环境下协调有源配电网、微电网、负荷聚合商和储能运营商以实现多主体利益共赢的问题,提出一种基于主从博弈的有源配电网系统多利益主体协同优化方法。首先,考虑分布式电源、需求响应、储能等调度资源,引入“用户效用函数”,基于主从博弈架构建立了上层为配电网价格出清模型、下层为各利益主体功率调度模型的双层经济优化模型;然后,研究了有源配电网主从博弈流程,提出以遗传算法和二次规划结合的分布式求解方法对问题进行求解;最后,在改进的IEEE 14节点系统上对所提方法进行了验证。结果表明,用所提出的策略可在有效提高各参与主体收益的同时提升电力市场公平性。Aiming at the problem of coordinating active distribution networks,microgrids,load aggregators and energy storage operators to achieve multi-stakeholder win-win in the market environment,a multi-stakeholder collaborative optimization method of active distribution network system based on master-slave game is proposed.Firstly,considering distributed generation,demand response,energy storage and other scheduling resources,the“user utility function”is introduced,and based on the master-slave game architecture,a two-layer economic optimization model with the price clearing model in the upper layer and the power scheduling model in the lower layer for each subject of interest is established.Secondly,the master-slave game process of active distribution network is studied,and a distributed solution method combining genetic algorithm and quadratic programming is proposed to solve the problem.Finally,the proposed method is validated on an improved IEEE 14-node system.The results show that the proposed strategy can effectively improve the income of each participant and enhance the fairness of the power market.

关 键 词：有源配电网 多利益主体 需求响应 主从博弈 协同优化 

分 类 号：TK-9[动力工程及工程热物理]