电力系统自动化2012，Vol.36Issue(8)：24-30,7.
基于计算几何方法的电动汽车充电站规划
Electric Vehicle Charging Station Planning Based on Computational Geometry Method
唐现刚 1刘俊勇 1刘友波 1冯瀚 2谢连方 2马玮1
作者信息
- 1. 四川大学电气信息学院,四川省成都市610065
- 2. 四川省电力公司,四川省成都市610041
- 折叠
摘要
Abstract
Abstract： This paper comprehensively analyzes several factors that influence the charging station planning for electric vehicles, and then an income optimization model of charging station planning for electric vehicles is developed. In order to meet the capacity requirement of charging station in the planning area, the electric vehicles＇ expected power demand is calculated based on the charging characteristics and trip characteristics of electric vehicles. The weights of Voronoi diagram are adjusted to make the service areas divided more rationally and the load rate better balanced based on the distribution characteristic of electric vehicles. Combining the weighted Voronoi diagram, the global searching ability of the particle swarm optimization algorithm is used to locate and size the charging stations and optimally plan the service areas. By calculating different numbers of electric vehicles and different ways of distribution, the results verify the effectiveness and feasibility of the proposed model and algorithm.关键词
电动汽车/充电站规划/计算几何方法/加权伏罗诺伊图/粒子群优化Key words
electric vehicles/charging station planning/computational geometry method/weighted Voronoi diagram/particleswarm optimization分类
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唐现刚,刘俊勇,刘友波,冯瀚,谢连方,马玮..基于计算几何方法的电动汽车充电站规划[J].电力系统自动化,2012,36(8):24-30,7.
