引用本文:赵书强,李志伟,党 磊.基于城市交通网络信息的电动汽车充电站最优选址和定容[J].电力自动化设备,2016,36(10):
ZHAO Shuqiang,LI Zhiwei,DANG Lei.Optimal EV charging station siting and sizing based on urban traffic network information[J].Electric Power Automation Equipment,2016,36(10):
【打印本页】   【HTML】   【下载PDF全文】   查看/发表评论  【EndNote】   【RefMan】   【BibTex】
←前一篇|后一篇→ 过刊浏览    高级检索
本文已被:浏览 4220次   下载 2  
基于城市交通网络信息的电动汽车充电站最优选址和定容
赵书强, 李志伟, 党 磊
华北电力大学 电气与电子工程学院,河北 保定 071003
摘要:
针对电动汽车充电站规划问题,给出两步搜索的电动汽车充电站选址定容的分析方法,提出电动汽车充电站选址的最优数学模型。基于城市道路信息,得出充电站最优位置分布,采用Voronoi图划分每个充电站所服务的负荷区,根据每个充电站所服务的充电负荷设计其容量。算例分析验证了规划方法的有效性和实用性。
关键词:  电动汽车  充电站  聚类分析  集覆盖  充电站选址  充电站容量计算  优化
DOI:
分类号:
基金项目:国家高技术研究发展计划(863计划)资助项目(2011-AA11A278)
Optimal EV charging station siting and sizing based on urban traffic network information
ZHAO Shuqiang, LI Zhiwei, DANG Lei
School of Electrical and Electronic Engineering,North China Electric Power University,Baoding 071003,China
Abstract:
An analysis method based on two-step search is given for planning the site and size of EV(Electric Vehicle) charging station,for which,an optimal mathematical model is proposed. The optimal allocation of EV charging stations is obtained based on the information of urban roads,the Voronoi diagram is applied to divide the service areas for EV charging stations,and the size of each station is designed according to its charging load. Case analysis verifies the effectiveness and practicability of the proposed method.
Key words:  electric vehicles  charging station  cluster analysis  set covering  charging station siting  charging station sizing  optimization

用微信扫一扫

用微信扫一扫