Electric vehicle charging station planning strategy based on probabilistic power flow calculation of distribution network

被引：0
|
作者：
Zhang Y. [1 ]
Yao Z. [2 ]
Li J. [2 ]
Du Z. [1 ]
Wang Z. [2 ]
Xu S. [1 ]
Wu D. [1 ]
Huang Z. [1 ]
机构：
[1] Zhejiang Huayun Electric Power Engineering Design & Consultation CO., LTD., Hangzhou
[2] School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai
来源：
Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control | 2019年 / 47卷 / 22期
关键词：
Charging station; Cumulant method; Electric vehicles; Operational risks of distribution power grid; Probabilistic load flow;
D O I：
10.19783/j.cnki.pspc.181532
中图分类号：
学科分类号：
摘要：
The access of a large number of electric vehicle loads will change the distribution of power flow in the distribution network and threaten the stability of the power grid. Based on the semi-invariant and Gram-Charlier series, this paper calculates the dynamic probability flow of the distribution network considering the charging load of electric vehicles. On this basis, a comprehensive index evaluating the influence of the charging station on the power flow of the power distribution system is defined based on the risk indicator of branch overload and bus voltage violation, and a method for determining the optimal electrical access point of the charging stations is proposed. The simulation results of IEEE33 node power distribution system show that using this method to select the electrical access point of the charging stations can reduce the risk of branch overload and bus voltage violation. It can be used to guide the charging behavior of electric vehicles through an optimized layout of the charging facility. © 2019, Power System Protection and Control Press. All right reserved.
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页码：9 / 16
页数：7
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