Research on charging and parking price model of electric vehicle for urban residential district

被引:2
|
作者
Wen, Ming [1 ,2 ]
Xiang, Wang [2 ,3 ]
Sun, Jincan [3 ]
机构
[1] State Grid Hunan Elect Power Co Ltd, Res Inst Econ & Technol, Changsha 410004, Peoples R China
[2] Key Lab Energy Internet Supply & Demand Operat Hu, Changsha 410004, Peoples R China
[3] Changsha Univ Sci & Technol, Sch Transportat Engn, Changsha 410076, Peoples R China
基金
中国国家自然科学基金;
关键词
Electric vehicle; Residential district; Charging pricing;
D O I
10.1109/ICMTMA52658.2021.00116
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
With the large-scale development of electric vehicle industry and the increasing demand for charging, the development of residential charging service is of great importance. By reasonably setting the charging and parking prices of electric vehicles in residential communities, the communities can provide convenient services for users while taking into account the interests of relevant operators. This paper mainly uses the method of multi-objective optimization to establish the revenue function of the relevant operators and the cost function of the charging time of the users, and then develops the multi-objective function model to balance the interests of all parties, and finally verifies the effectiveness of the model through an example. The research results provide a certain reference for the decision-making of EV charging pricing in residential areas and promote the industrial development of urban EV.
引用
收藏
页码:504 / 508
页数:5
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