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。
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.
出处
《中国电力》
CSCD
北大核心
2013年第8期143-147,共5页
Electric Power
基金
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)
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
electric vehicle charging station two-step location selection immune algorithm fuzzy analysis hierarchy process