Aiming at the problem of intelligent location and capacity determination of electric vehicles.First estab-lish a multi-objective and multi-constraint optimal charging station location and sizing model that minimizes the sum of investment cost,operation and maintenance cost,charging cost for service users,power consumption cost for users'driving and waiting time cost.Then using the BP neural network researching regional location.Secondly by using Ant colony algorithm for the selected address constant volume.At last,the example of Taiyuan charging sta-tion site selection and constant volume the effectiveness of BP neural network site selection for the study area and the feasibility of sizing the selected address by ant colony algorithm.And The location and capacity of the charging station in Changzhi city are predicted.
关键词
电动汽车充电站/选址/定容/BP神经网络/蚁群算法
Key words
electric vehicle charging station/site selection/constant volume/the BP neural network/ant colony al-gorithm
维普
万方数据