Research on Electric Vehicle Charging Scheduling Strategy Based on the Multiobjective Algorithm

被引:3
|
作者
Jiang, Xuefeng [1 ]
机构
[1] Chuzhou Vocat & Tech Coll, Mech & Automot Engn Coll, Chuzhou 239000, Peoples R China
关键词
Charging (batteries) - Electric power transmission networks - Electric vehicles - Renewable energy resources - System stability - Vehicle-to-grid;
D O I
10.1155/2022/1959511
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Under the influence of the low-carbon economy, the electric vehicles have been vigorously promoted. As the main place for charging, charging stations are classified as unstable loads in the power grid because of the large fluctuation of electricity demand. If a large number of charging stations in the system are not regulated and dispatched, the stability of the system will be greatly affected, so it is vital to further study the scheduling strategy of the cars. In this paper, a scheduling model based on the multiobjective algorithm is established, in which the PSO algorithm is used in the model. And the experimental analysis shows that the model can reduce the average charging time and improve the utilization rate of charging piles.
引用
收藏
页数:6
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