Optimal Planning of Electric Vehicle Charging Stations Location Based on Hybrid Particle Swarm Optimization

被引：4

作者：

Tang, Zheci ^{[1
]}

Guo, Chunlin ^{[1
]}

Hou, Pengxin ^{[1
]}

Fan, Yubo ^{[1
]}

Jia, Dongming ^{[1
]}

机构：

[1] North China Elect Power Univ, State Key Lab Alternate Elect Power Syst Renewabl, Beijing, Peoples R China

来源：

APPLIED ENERGY TECHNOLOGY, PTS 1 AND 2 | 2013年 / 724-725卷

关键词：

Electric vehicles; Hybrid Particle Swarm Optimization; Charging stations location; Optimal Planning;

D O I：

10.4028/www.scientific.net/AMR.724-725.1355

中图分类号：

TU [建筑科学];

学科分类号：

0813 ;

摘要：

In order to determine the layout of electric car charging stations, a model for optimizing charging stations location is developed after charging-demand districts are divided, the number of electric vehicles and the center of each charging district are ready. This model takes the minimization of electric vehicles charging stations total cost which includes initial fixed investment costs, operating costs and charging costs as the objective function, some related constraints which include service radius, capacity of charging station etc. are considered. Particle swarm optimization based on hybridization is proposed to solve this problem. The example verifies feasibility of this method.

引用

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页码：1355 / +

页数：2

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