Title :
Study on the proportional allocation of electric vehicles with conventional and fast charge methods when in distribution network
Author :
Xu Guojun ; Liu Yongsheng ; Hu Xiaoqin ; Xiong Xicong ; Wang Qianggang ; Zhou Niancheng
Author_Institution :
Yuhang Power Supply Bur. of Zhejiang, Electr. Power Corp., Hangzhou, China
Abstract :
This paper studies the hierarchical classification of electric vehicles (EV) by analyzing the differences of charging behaviors of different types of EVs. According to the different proportions of conventionally-charged EVs and fast-charged EVs, four indexes (the increment of peak load, the duration of peak load, the maximum smoothing index of load curve and the average smoothing index) are proposed to evaluate the impact on the distribution network. Then a method is established to configure the proportion of EV in different charging methods. Finally, based on the field data of a distribution network and the IEEE-34 node example, the optimal proportion of EV in different charging methods are made combined with the Monte Carlo simulation of charging load. Results show that suitable ratio of EV with different charging methods can make the load curve smoother and the grid´s difference between peak and valley loads decrease significantly.
Keywords :
Monte Carlo methods; distribution networks; electric vehicles; power grids; EV hierarchical classification; IEEE-34 node; Monte Carlo simulation; conventionally-charged EV; distribution network; electric vehicle; fast charge method; load curve; power grid; proportional allocation; Monte Carlo simulation; charging power; distribution network; electric vehicle; proportional allocation;
Conference_Titel :
Electricity Distribution (CICED), 2012 China International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4673-6065-4
Electronic_ISBN :
2161-7481
DOI :
10.1109/CICED.2012.6508569