用户侧分布式储能鲁棒博弈优化调度方法

doi:10.11930/j.issn.1004-9649.202012085

中国电力 ›› 2022, Vol. 55 ›› Issue (2): 35-43,114.DOI: 10.11930/j.issn.1004-9649.202012085

• 国家“十三五”智能电网重大专项专栏：（十一）新型储能与能源转化关键技术 • 上一篇下一篇

用户侧分布式储能鲁棒博弈优化调度方法

林振锋¹, 郑常宝^1,2, 芮涛², 胡存刚^1,2

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

收稿日期:2020-12-15 修回日期:2021-03-05 出版日期:2022-02-28 发布日期:2022-02-23
作者简介:林振锋（1996—），男，硕士研究生，从事微电网的经济优化研究，E-mail：linzhf132@163.com;郑常宝（1963—），男，博士，从事微电网运行优化、电力电子与电力传动研究，E-mail：zhengchb@sina.com;胡存刚（1978—），男，博士，从事新能源微电网、多电平变换器研究，E-mail：hcg@ahu.edu.cn
基金资助:
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）。

Robust Game Optimization Scheduling Method for User-Side Distributed Energy Storage

LIN Zhenfeng¹, ZHENG Changbao^1,2, RUI Tao², HU Cungang^1,2

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

Received:2020-12-15 Revised:2021-03-05 Online:2022-02-28 Published:2022-02-23
Supported by:
This work is supported by National Key R&D Program of China（No.2016YFB0900400）and University Natural Science Foundation Project of Anhui Province (Research on Robust Game Strategy of Distribution Network and Microgrid Cluster under Uncertain Environment, No.KJ2020A0038).

摘要/Abstract

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经济性的影响，采用鲁棒优化理论对不确定性因素进行处理。最后，通过实例分析验证了所提优化调度方法对提高系统光伏消纳水平、降低市场主体运行成本的有效性。

关键词: 源荷不确定性, 用户侧储能, 鲁棒优化, 合作博弈

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.

Key words: source and load uncertainty, user-side energy storage, robust optimization, cooperative game

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.

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.

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用户侧分布式储能鲁棒博弈优化调度方法

Robust Game Optimization Scheduling Method for User-Side Distributed Energy Storage

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