Orderly Charging Strategy for Electric Vehicles Based on Master-Slave Game

被引：3
|
作者：
Duan, Shutong [1 ]
Sui, Huibin [1 ]
Zhang, Shoukun [1 ]
机构：
[1] Shandong Univ, Sch Elect Engn, Jinan, Peoples R China
来源：
2021 IEEE IAS INDUSTRIAL AND COMMERCIAL POWER SYSTEM ASIA (IEEE I&CPS ASIA 2021) | 2021年
关键词：
electric vehicle(EV); Peak-valley difference; Master-slave game; Orderly charging;
D O I：
10.1109/ICPSAsia52756.2021.9621585
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
With the randomness of charging electric vehicles (EV), it's more challenging to formulate effective and reasonable electric vehicle scheduling strategies. Due to the price advantage of the power grid, a master-slave game model is developed, in which the grid is the game subject and the electric vehicle is the game subordinate. The particle swarm algorithm is used to obtain the optimal time-of-use electricity price strategy and grid dispatching strategy. Furthermore, the simulation experiment is designed with MATLAB. It is proved that the proposed model has an optimizing effect on the load curve and can reduce the peak-valley difference.
引用
收藏
页码：799 / 803
页数：5
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