Ordered Charging Strategy for Electric Vehicles Based on Load Balancing

被引:0
|
作者
Gou, FangJie [1 ]
Yang, JianWei [1 ]
Zang, Tianlei [2 ]
机构
[1] Southwest Jiaotong Univ, Sch Elect Engn, Chengdu, Sichuan, Peoples R China
[2] Tsinghua Univ, Dept Elect Engn, Beijing, Peoples R China
关键词
three-phase imbalance; Charging strategy; bilayer particle swarm optimization algorithm;
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
This paper proposes a charging strategy for electric vehicle based on load balance aiming at the different timeliness of household electricity consumption and the three phase imbalance of power distribution system caused by charging of electric vehicle. Firstly, the three-phase imbalance of the distribution system is reduced by adjusting the charging time of the electric vehicle, the size of the charging power, and the amount of charging loads inserted to per phase of the power distribution system. Secondly, the bilayer particle swarm optimization algorithm is used to solve the charging strategy. Finally, the simulation study of a residential area is carried out. The results show that the charging strategy proposed in this paper can not only ensure the voltage quality of the distribution system, but also can decrease the three-phase irregularity of the district power distribution system effectively and ensure the stable and reliable operation of the system.
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页数:5
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