Evolutionary game coordination strategy of electric vehicle cluster charging and discharging

被引：0
|
作者：
Liu D. [1 ]
Zhang X. [1 ]
Qian Y. [1 ]
机构：
[1] School of Electrical and Information Engineering, Changsha University of Science & Technology, Changsha
来源：
Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control | 2023年 / 51卷 / 16期
基金：
中国国家自然科学基金;
关键词：
charging and discharging scheduling; electric vehicle; electricity demand response; evolutionary game; non-cooperative game;
D O I：
10.19783/j.cnki.pspc.230107
中图分类号：
学科分类号：
摘要：
There is a need for electric vehicle charging and discharging coordination scheduling in the scenario of multiple electric vehicles participating in the grid demand response interaction. Thus a pricing and scheduling game model is proposed to guide the electric vehicle aggregators to dynamically price and participate in the grid demand response scheduling at scale. First, a non-cooperative game model is constructed under the dynamic pricing of the EV aggregator. This takes into account the cost of the EV aggregator and the charging and discharging price of the EV. Secondly, a multi-strategy set evolutionary game model for electric vehicle charging and discharging scheduling based on logit protocol is proposed. Finally, the evolutionary and Nash equilibria of the price-scheduling game are jointly established to obtain the optimal strategy of each agent. The simulation results show that the proposed model can effectively realize the peak shaving and valley filling of power grid load, and can take into account the economic interests of electric vehicle aggregators and electric vehicle users at the same time. © 2023 Power System Protection and Control Press. All rights reserved.
引用
收藏
页码：84 / 93
页数：9
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