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Location and capacity determination of charging station based on electric vehicle charging behavior analysis
IEEJ Transactions on Electrical and Electronic Engineering ( IF 1 ) Pub Date : 2021-05-05 , DOI: 10.1002/tee.23378
Weitao Cao 1 , Youhong Wan 1 , Lu Wang 1 , Yue Wu 1
Affiliation  

The infrastructure construction of charging facilities for electric vehicles (EVs) is one of the key factors influencing the development of electric vehicle industry. A reasonable location and capacity determination scheme is very crucial to this issue. In this study, a probability calculation model that fully analyses the charging behavior of the owners is proposed to predict the charging load of the planned land. Based on the results of electric vehicle load forecasting, a location model with the lowest users travel cost is established. The location of charging station is optimized by genetic algorithm to obtain the location and capacity library of charging station. Especially, the two-way cost for both the owners and the operators is considered for the location and capacity decision, and the optimal scheme is selected from the location and capacity library as the final planning result. An example analysis shows that the proposed method is effective and feasible for the location and capacity determination of electric vehicles charging stations in cities. © 2021 Institute of Electrical Engineers of Japan. Published by Wiley Periodicals LLC.

中文翻译:

基于电动汽车充电行为分析的充电站位置与容量确定

电动汽车充电设施的基础设施建设是影响电动汽车产业发展的关键因素之一。合理的位置和容量确定方案对于此问题至关重要。在这项研究中,提出了一种可以完全分析所有者的收费行为的概率计算模型,以预测规划用地的收费负荷。基于电动汽车负荷预测的结果,建立了用户出行成本最低的位置模型。通过遗传算法对充电站的位置进行优化,得到充电站的位置和容量库。特别是,所有者和运营商的双向成本都被考虑用于位置和容量决策,然后从位置和容量库中选择最佳方案作为最终计划结果。实例分析表明,该方法对城市电动汽车充电站的位置和容量确定是有效可行的。©2021日本电气工程师学会。由Wiley Periodicals LLC发布。
更新日期:2021-05-25
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