Capacity configuration of electric vehicle charging facilities based on user behavior prediction

2018 1st International Conference on Environment Prevention and Pollution Control Technology

生态环境科学

Yang, Shihai^1 ; Shi, Kun^2 ; Cao, Xiaodong^1 ; Wang, He^3 ; Yu, Zhiyuan^4

State Grid Jiangsu Electric Power Research Institute, Nanjing

91944, China^1

China Electric Power Research Institute, Beijing

100192, China^2

State Grid Energy Conservation Service Co. Ltd., Beijing

100052, China^3

Beijing GUODIANTONG Network Technology Co. Ltd., Beijing

100089, China^4

关键词: Capacity allocation;    Capacity configurations;    Charging loads;    Charging station;    Electric vehicle charging;    Electric vehicle charging facilities;    User behaviors;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/199/3/032035/pdf
DOI  :  10.1088/1755-1315/199/3/032035

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

By analyzing the behavior of electric vehicle users, this paper predicts the driving and charging activities of electric vehicles in the area and simulates the total charging load of electric vehicle charging load in a charging station in a certain area. Finally, taking a city as an example, this method is used to calculate the specific configuration scheme of the city's public charging network, and further studies the impact of user charging habits and vehicle differences on the configuration results. The results show that the proposed capacity allocation method is effective and feasible.