Multi-agent Joint Investment Microgrid Source-storage Multi-strategy Bounded Rational Decision Evolution Game Capacity Planning

被引：0

作者：

Huang N. ^{[1
]}

Bao J. ^{[1
]}

Cai G. ^{[1
]}

Zhao S. ^{[2
]}

Liu D. ^{[1
]}

Wang J. ^{[2
]}

Wang P. ^{[2
]}

机构：

[1] Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology, Ministry of Education (Northeast Electric Power University), Jilin, 132012, Jilin Province

[2] State Grid Inner Mongolia Eastern Electric Power Co., Ltd., Institute of Economics and Technology, Hohhot, 010000, Inner Mongolia Autonomous Region

来源：

Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering | 2020年 / 40卷 / 04期

基金：

国家重点研发计划;

关键词：

Capacity planning; Evolutionary game; Microgrid; Multi-investor; Multi-strategy;

D O I：

10.13334/j.0258-8013.pcsee.190908

中图分类号：

学科分类号：

摘要：

Aiming at the multi-agent joint investment in a single microgrid source-storage planning scenario, it is difficult to balance the conflicts of multiple investment subjects, and the traditional game theory assumes the limitations of participants' complete rationality, and proposed a new method based on evolutionary game to plan the microgrid source-storage capacity with distribution network operators and microgrid operators jointly invested. Firstly, established a microgrid system and internal source and storage models, and combined the peak and valley electricity prices to determine the operation strategy of the microgrid containing energy storage. Secondly, with the operating costs and internal economic benefits of microgrid operators, as well as the total economic benefits of distribution grid operators investing in microgrid costs, distribution network losses, delaying distribution network upgrade costs and selling electricity revenues, established a multi-participant payment function model. Thirdly, based on the participants, the strategy set, payment function and the dynamic equation of the replicator, a multi-strategy evolutionary game model considering the bounded rationality of the participants was established, and a method for solving the multi-strategy evolutionary stability strategy was proposed. Finally, the effectiveness of the proposed multi-strategy evolutionary game microgrid source-storage planning strategy was illustrated by the actual system. Comparative experiments were carried out in different scenarios such as non-gaming, traditional game and evolutionary game. Experiments show that the evolutionary game method has better effects in balancing the benefits of microgrid operators and distribution network operators. © 2020 Chin. Soc. for Elec. Eng.

引用

页码：1212 / 1225

页数：13

共 23 条

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