Large-scale Electric Vehicles Charging and Discharging Optimization Scheduling Based on Multi-agent Two-level Game Under Electricity Demand Response Mechanism

被引：0

作者：

Cai G. ^{[1
]}

Jiang Y. ^{[1
]}

Huang N. ^{[1
]}

Yang D. ^{[2
]}

Pan X. ^{[3
]}

Shang W. ^{[3
]}

机构：

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

[2] School of Electrical Engineering and Automation, Harbin Institute of Technology, Heilongjiang Province, Harbin

[3] Economic and Technological Research Institute of State Grid Liaoning Electric Power Co., Ltd., Liaoning Province, Shenyang

来源：

Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering | 2023年 / 43卷 / 01期

关键词：

bidding strategy; charging and discharging scheduling; electric vehicle; electricity demand response; evolutionary game; non-cooperative game; two-level game;

D O I：

10.13334/j.0258-8013.pcsee.212528

中图分类号：

学科分类号：

摘要：

In view of the complex game interaction between multiple decision-making subjects involved in the electric vehicle dispatching scenario under the power demand response mechanism, this paper proposes a multi-agent two-level game model in which multiple aggregators integrate large-scale electric vehicles into the grid to participate in the power market bidding, and guide electric vehicle charge and discharge optimization scheduling based on the bidding results. A multi-strategy evolutionary game model for electric vehicles charge and discharge scheduling with the logit protocol is constructed. A non-cooperative game model of multiple electric vehicle aggregators bidding purchase/sale electricity price in the electricity market is constructed. The replicator dynamics is used to guide the evolution of the distribution system operator's strategy for allocating response power to each aggregator during each demand response period. Finally, the evolutionary equilibrium and the Nash equilibrium of the two-level game model are jointly solved, thus obtaining the optimal stable strategy. Experimental results show that the proposed two-level game model can effectively balance the economic interests of electric vehicle owners, electric vehicle aggregators and the distribution system operator while achieving peak cutting and valley filling of power load. ©2023 Chin.Soc.for Elec.Eng.

引用

页码：85 / 98

页数：13

共 27 条

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