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用户侧分布式储能鲁棒博弈优化调度方法
引用本文:林振锋,郑常宝,芮涛,胡存刚. 用户侧分布式储能鲁棒博弈优化调度方法[J]. 中国电力, 2022, 55(2): 35-43,114. DOI: 10.11930/j.issn.1004-9649.202012085
作者姓名:林振锋  郑常宝  芮涛  胡存刚
作者单位:1. 安徽大学 电气工程与自动化学院,安徽 合肥 230601;2. 教育部电能质量工程研究中心(安徽大学),安徽 合肥 230601
基金项目:国家重点研发计划资助项目(2016YFB0900400);安徽省高校自然科学基金项目(不确定环境下的配电网与微电网群鲁棒博弈策略研究,KJ2020A0038)。
摘    要:针对开放电力市场环境中多主体电能交易机制下系统的经济调度问题,提出了一种基于合作博弈理论的用户侧分布式储能鲁棒博弈优化调度方法.该方法旨在协调配电网与用户之间的能量交互,通过寻找博弈模型的均衡点来制定最优的用户侧储能调度策略,提高系统的新能源消纳水平和经济效益.其次,为减少系统中源荷功率不确定性对实际调度运行过程中系统...

关 键 词:源荷不确定性  用户侧储能  鲁棒优化  合作博弈
收稿时间:2020-12-15
修稿时间:2021-03-05

Robust Game Optimization Scheduling Method for User-Side Distributed Energy Storage
LIN Zhenfeng,ZHENG Changbao,RUI Tao,HU Cungang. Robust Game Optimization Scheduling Method for User-Side Distributed Energy Storage[J]. Electric Power, 2022, 55(2): 35-43,114. DOI: 10.11930/j.issn.1004-9649.202012085
Authors:LIN Zhenfeng  ZHENG Changbao  RUI Tao  HU Cungang
Affiliation:1. School of Electrical Engineering and Automation, Anhui University, Hefei 230601, China;2. Power Quality Engineering Research Center, Ministry of Education (Anhui University), Hefei 230601, China
Abstract:Aiming at the economic scheduling problem of the system under multi-agent energy trading mechanism in open electricity market, this paper proposes a robust game optimization scheduling method for user-side distributed energy storage based on cooperative game theory. The purpose of this method is to coordinate the energy interaction between distribution network and users. By finding the equilibrium point of the game model, the optimal user-side energy storage scheduling strategy is formulated, so as to improve the new energy consumption level and economic benefits of the system. Secondly, in order to reduce the influence of source and load uncertainty on the system economy in the actual dispatching operation process, robust optimization theory is used to deal with the uncertain factors. Finally, an example is given to verify the effectiveness of the proposed optimal scheduling method to improve the photovoltaic energy consumption level and reduce the operation cost of market entity.
Keywords:source and load uncertainty  user-side energy storage  robust optimization  cooperative game  
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