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投稿时间:2019-07-02 修订日期:2019-09-07
投稿时间:2019-07-02 修订日期:2019-09-07
中文摘要: 为了解决电动汽车充电站建站选址过程中出现的重复投入、资源浪费等问题,使其一方面可以满足电动汽车用户的充电需求,另一方面还可以提高自身经济收益,本文依据某公司车桩一体平台所采集的新能源车运行数据和充电桩充电数据,结合公司的实际投资建设需求,在充分考虑了充电站的经济收入和各类投资费用后,以最小扭亏为盈年限作为目标函数,建立了充电站选址规划模型。为了验证模型的正确性,我们在初步给定的15个预选站点中,采用差分进化算法进行模型求解,得出各站点最小扭亏为盈年限以及所需配备的充电桩的个数。根据模型求解结果,发现站点6是以收回投资成本的最短年限为依据的最佳站点,而以年均收入为依据的最佳站点是站点1,这是与实际工作经验想吻合的。
Abstract:This paper discusses a way to solve the problems of repeated investment and waste of resources in the process of site selection of electric vehicle charging station, which can meet the charging needs of electric vehicle users on the one hand, and improve their economic benefits on the other hand. Based on the operation data of new energy vehicles and charging data of charging piles collected by a company"s vehicle-pile integrated platform, combined with the actual investment and construction needs of the company, we take the minimum turnaround period as the objective function and establish the location planning model of charging stations, after fully considering the economic income and various investment costs of charging stations. To verify the correctness of the model, we use the differential algorithm to solve the model in 15 pre-selected sites, and get the minimum turnaround period of each site and the number of charging piles needed. According to the results of the model, it is found that the station 6 is the best one based on the shortest period of recovering the investment cost, and the station 1 is the best one based on the average annual income, which is in accordance with the actual work experience.
keywords: electric vehicle charging station location planning income analysis differential algorithm
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作者 | 单位 | |
田鹏* | 国网重庆市电力公司 | 16563626@qq.com |
张林 | 国网重庆市电力公司 |
Author Name | Affiliation | |
TianPeng | State Grid Chongqing Electric Power Company,Chongqing | 16563626@qq.com |
ZhangLin | State Grid Chongqing Electric Power Company,Chongqing |
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