Real-time Optimal Dispatch for Large-scale Electric Vehicles Based on Dynamic Non-cooperative Game Theory

被引：0
|
作者：
Chen L. [1 ]
Pan Z. [1 ]
Yu T. [1 ]
Wang K. [1 ]
机构：
[1] School of Electric Power, South China University of Technology, Guangzhou
来源：
Dianli Xitong Zidonghua/Automation of Electric Power Systems | 2019年 / 43卷 / 24期
基金：
中国国家自然科学基金;
关键词：
Distributed optimization; Dynamic non-cooperative game; Large-scale electric vehicles; Real-time optimal dispatch;
D O I：
10.7500/AEPS20181116007
中图分类号：
学科分类号：
摘要：
In order to solve the problem of optimal dispatch caused by conflicts of independent optimized dispatch targets between electric vehicle aggregators (EVAs) after the large-scale electric vehicle (EV) connected to the grid, a large-scale EV real-time dispatch model based on dynamic non-cooperative game considering the interests of EVA is proposed. Firstly, the cluster equivalent model of large-scale EV is constructed and the interest relationship of each EVA with dynamic electricity price mechanism is analyzed. Then the complete potential game theory is used to prove the existence of the unique Nash equilibrium solution of the game model and the solution is derived. Finally, a real-time distributed algorithm based on the alternating direction method of multipliers is proposed to solve the real-time decision problem of each EVA. The simulation results show that the model can effectively perform peak load shifting and reduce the charging cost of EVAs. Meanwhile, it is proved that the proposed model is more suitable for real-time optimal dispatch for the charging of large-scale EVs in terms of optimization results, computing time and protection of user privacy. © 2019 Automation of Electric Power Systems Press.
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页码：32 / 40and66
页数：4034
相关论文
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