Dynamic Sorting Intelligent Charging Control Strategy of Electric Vehicles Based on Time-of-Use Price

被引：0
|
作者：
Guo Chunlin [1 ]
Hu Dequan [1 ]
Yu Qinbo [1 ]
Man Zhou [1 ]
机构：
[1] North China Elect Power Univ, State Key Lab Alternate Elect Power Syst Renewabl, Beijing, Peoples R China
来源：
PROCEEDINGS OF 2017 CHINA INTERNATIONAL ELECTRICAL AND ENERGY CONFERENCE (CIEEC 2017) | 2017年
关键词：
control strategy; electric vehicles; intelligent charging; power grid; TOU price;
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：
Uncoordinated charging of large-scale electric vehicles (EVs) would cause charging peak load superimpose on grid peak load, which would affect the economical and safe operation of the power system seriously. Therefore, it is vital to schedule EVs charging behavior. A dynamic sorting intelligent charging control strategy, based on time-of-use (TOU) price is proposed in this paper. This strategy is used to reduce the network loss caused by EVs charging, and EVs coordinated charging with charging needs. The charging control strategy is verified in MATIAB/Simulink, and the results show that the strategy proposed in this paper can achieve peak load shifting and improve the economy of the power grid operation.
引用
收藏
页码：199 / 204
页数：6
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