李鹏, 吴迪凡, 李雨薇, 刘海涛, 王楠, 周喜超. 基于综合需求响应和主从博弈的多微网综合能源系统优化调度策略[J]. 中国电机工程学报, 2021, 41(4): 1307-1321. DOI: 10.13334/j.0258-8013.pcsee.201845
引用本文: 李鹏, 吴迪凡, 李雨薇, 刘海涛, 王楠, 周喜超. 基于综合需求响应和主从博弈的多微网综合能源系统优化调度策略[J]. 中国电机工程学报, 2021, 41(4): 1307-1321. DOI: 10.13334/j.0258-8013.pcsee.201845
LI Peng, WU Difan, LI Yuwei, LIU Haitao, WANG Nan, ZHOU Xichao. Optimal Dispatch of Multi-microgrids Integrated Energy System Based on Integrated Demand Response and Stackelberg game[J]. Proceedings of the CSEE, 2021, 41(4): 1307-1321. DOI: 10.13334/j.0258-8013.pcsee.201845
Citation: LI Peng, WU Difan, LI Yuwei, LIU Haitao, WANG Nan, ZHOU Xichao. Optimal Dispatch of Multi-microgrids Integrated Energy System Based on Integrated Demand Response and Stackelberg game[J]. Proceedings of the CSEE, 2021, 41(4): 1307-1321. DOI: 10.13334/j.0258-8013.pcsee.201845

基于综合需求响应和主从博弈的多微网综合能源系统优化调度策略

Optimal Dispatch of Multi-microgrids Integrated Energy System Based on Integrated Demand Response and Stackelberg game

  • 摘要: 随着园区综合能源系统的发展,在同一配电区域往往存在多个园区微网综合能源系统,形成多微网综合能源系统或称冷热电联供多微网系统。针对含电能交互的多微网综合能源系统,提出一种基于综合需求响应和主从博弈优化调度策略。首先,建立包含可转移可中断电负荷、可转移不可中断电负荷、灵活的热负荷和冷负荷等多类型负荷的综合需求响应模型。之后,以多微网系统为领导者,各微网负荷聚合商为跟随者,形成一主多从互动均衡模型,同时优化多微网系统定价策略、各微网用户需求响应方案以及多微网系统内各类能量转换耦合设备的出力,并对博弈均衡解的存在性和唯一性进行证明。最后,通过算例分析论证所提方案的合理性和有效性,多微网系统的利润和各微网用户的综合效益与用能成本都得到了改善。

     

    Abstract: With the development of the park integrated energy system, there usually are multiple park integrated energy systems in the same power distribution area, which form the multi-microgrids integrated energy system or multi-microgrids system combined with cold, hot and electricity. An optimal dispatching strategy based on the integrated demand response and leader-followers game was proposed for the multi-microgrids integrated energy system with electric power interaction. Firstly, an integrated demand response model was established includes shiftable disturbed electrical load, shiftable undisturbed electrical load, flexible thermal load and cooling load. Then, a leader multi-followers interaction equilibrium model was formed with the setting where multi-microgrids system as the leader and the multi-microgrids users as the followers, which optimized the pricing strategy of the multi-microgrids system, the demand response scheme of each microgrid users and the output of various energy conversion coupling devices in the multi-microgrids system at the same time, besides, the existence and uniqueness of the equilibrium solution of the game were proved. Finally, the rationality and effectiveness of the proposed strategy were demonstrated through the case analysis. There is to say, the profitability of the multi- microgrids system and the comprehensive benefit and energy cost of each microgrid users are improved.

     

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