标题：Spatial Optimal Location of EV Charging Stations based on K-means Clustering method
作者：Shi, Qingsheng; Cao, Yi; Huo, Fuqiang
作者机构：[Shi, Qingsheng; Cao, Yi; Huo, Fuqiang] Henan Univ Technol, Coll Elect Engn, Zhengzhou 450007, Peoples R China.; [Shi, Qingsheng] Shandong Univ, Sch 更多
会议名称：2nd International Conference on Applied Robotics for the Power Industry (CARPI)
会议日期：SEP 11-13, 2012
来源：2012 2ND INTERNATIONAL CONFERENCE ON APPLIED ROBOTICS FOR THE POWER INDUSTRY (CARPI)
关键词：Charging Stations; Electric Vehicle; Optimal location; K-means; Clustering
摘要：Charging plug-in Electric Vehicles at public fast charging stations can improve public acceptance and increase their penetration level by solving problems related to vehicles' battery. However, the spatial optimal location of charging stations has to be dealt with. The main purpose of this paper is to investigate the spatial optimal location of charging stations using K-means clustering method and charging requirement spot is taken as the clustering basis. The clustering procedure of charging station spatial optmal location is progrmmed using m-language. Finally, simulation results show the validity of proposed method.