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

被引：0
|
作者：
Yang, Shihai [1 ]
Shi, Kun [2 ]
Cao, Xiaodong [1 ]
Wang, He [3 ]
Yu, Zhiyuan [4 ]
机构：
[1] State Grid Jiangsu Elect Power Res Inst, Nanjing 91944, Jiangsu, Peoples R China
[2] China Elect Power Res Inst, Beijing 100192, Peoples R China
[3] State Grid Energy Conservat Serv Co Ltd, Beijing 100052, Peoples R China
[4] Beijing GUODIANTONG Network Technol Co Ltd, Beijing 100089, Peoples R China
来源：
2018 FIRST INTERNATIONAL CONFERENCE ON ENVIRONMENT PREVENTION AND POLLUTION CONTROL TECHNOLOGY (EPPCT 2018) | 2018年 / 199卷
关键词：
D O I：
10.1088/1755-1315/199/3/032035
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
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.
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页数：5
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