Research into Probabilistic Representation of Electric Vehicle's Charging Load and Its Effect to The Load Characteristics of The Network

被引:0
|
作者
Li, Yanning [1 ]
Zhang, Jinguo [2 ]
机构
[1] Tsinghua Univ, Dept Elect Engn, Beijing, Peoples R China
[2] State Grid Jiangsu Maintenance Co, Nanjing, Jiangsu, Peoples R China
关键词
electric vehicles; battery charging; probability distribution; distribution network; load profile;
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
The uncertainty in the temporal and spatial distribution of electric vehicle's (EV) charging load will directly affect the network's load pattern and other operational characteristics. This paper analyses the key factors which can affect the EV's charging load. Based on the data obtained from the EV charging terminals of a technology park in Beijing, the EV charging's starting time, duration and charging power are analyzed in terms of their probability distribution and probability density function. EV load's temporal and spatial probability representation and the charging load's expected model are then analyzed. Using Beijing area's summer load as a case study, the EV's unregulated charging and its effect to the distribution network's load characteristic is analyzed under different EV penetration levels.
引用
收藏
页码:426 / 430
页数:5
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