Urban Electric Vehicle Charging Station Configuration in Consideration of the Characteristics of Urban Power Grid

被引:0
作者
Li, Ke [1 ]
Quan, Shaoli [1 ]
Wang, Zhigang [2 ]
Li, Yingzi [3 ]
机构
[1] State Grid Henan Econ Res Inst, Zhengzhou 450052, Peoples R China
[2] State Grid Zhumadian Power Supply Co, Zhumadian 463000, Peoples R China
[3] North China Elect Power Univ, Beijing 102206, Peoples R China
来源
4TH INTERNATIONAL CONFERENCE ON MATERIALS ENGINEERING FOR ADVANCED TECHNOLOGIES (ICMEAT 2015) | 2015年
关键词
Electric vehicle; Charging; Regional characteristics; Urban road network; Multi-objective programming; Super-efficiency DEA model;
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Electric vehicles have multiple action in energy conservation, load shifting, etc. Proper charging facilities planning methods and models can guide construction, and promote the development of electric vehicles. Based on the regional characteristics of urban road network, this paper proposes a multi-objective programming model to configure electric vehicle charging station for urban road network. In this model, our objective is to maximize the total captured traffic, and to minimize the distribution network loss and voltage offset. Our model takes into account not only the convenience of the users, but also the impact on power quality and system operation and economy after charging stations are accessed to distribution systems. Using super-efficiency DEA model, we determine the objective function weights. And thus, the multi-objective programming is converted to a single-objective programming problems. And then improve BPSO algorithm is used to solve this single-objective optimization problem after conversion.
引用
收藏
页码:674 / 677
页数:4
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