中国电力 ›› 2013, Vol. 46 ›› Issue (8): 143-147.DOI: 10.11930/j.issn.1004-9649.2013.8.143.4

• 智能电网 • 上一篇    下一篇

城市电动汽车充电站两步优化选址方法

高亚静1, 郭艳东1, 李天天2   

  1. 1. 新能源电力系统国家重点实验室,华北电力大学,河北 保定 071003; 2. 天津滨海供电分公司,天津 300450
  • 收稿日期:2013-04-25 出版日期:2013-08-23 发布日期:2015-12-10
  • 作者简介:高亚静(1980—),女,河北饶阳人,博士,硕士生导师,从事电动汽车、电力系统调度自动化、电力系统规划与可靠性、电力经济等研究。
  • 基金资助:
    国家自然科学基金资助项目(51177047); 中央高校基本科研业务费专项资金资助项目(12MS107)

Optimal Location of Urban Electric Vehicle Charging Stations Using a Two-Step Method

GAO Ya-jing, GUO Yan-dong, LI Tian-tian   

  1. 1. State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Baoding 071003, China; 2. Tianjing Power Binhai District Supply Company, Tianjing 300450, China
  • Received:2013-04-25 Online:2013-08-23 Published:2015-12-10

摘要: 针对城市电动汽车充电站选址特点,提出了一种两步优化选址方法:① 在分析路段充电需求的基础上,利用免疫算法在规划区域大范围搜索寻优,获取候选的待建充电站路段;② 对于待建路段上的候选站址,考虑地理、配电网等因素,利用模糊层次分析法对影响因素进行量化,经综合评定后最终确定充电站的最优选址。

关键词: 电动汽车充电站, 两步优化选址, 免疫算法, 模糊层次分析法

Abstract: Considering the characteristics of site location for urban electric vehicle(EV) charging stations, a two-step locating method is proposed in this paper. In the first step, based on the analysis of the charging demand for various road sections, the planning area is searched by using immune algorithm to find out the candidate sections. In the second step, the comparison between the candidate sites in different candidate sections is performed by taking account of factors such as geographical feature and distribution networks, which are quantified by virtue of fuzzy analytic hierarchy process. Through comprehensive evaluation the optimal sites can thus be determined.

Key words: electric vehicle charging station, two-step location selection, immune algorithm, fuzzy analysis hierarchy process

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