A planning model for charging facilities of electric vehicles considering spatial and temporal characteristics of charging demands

2016 IEEE 2nd Annual Southern Power Electronics Conference (SPEC) Pub Date : 2016-12-01 DOI:10.1109/SPEC.2016.7846114

Binjie Liao, Jianwei Mao, Liang Li, Bo Li, Jun Yang, F. Wen, Md. Abdus Salam

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引用次数: 5

Abstract

Appropriate planning of charging facilities is of significant importance for the development of electric vehicles (EVs). Given this background, a planning model for siting and sizing of EV charging facilities based on zonal charging demand index is proposed with spatial and temporal characteristics of charging demands considered. A charging load prediction model based on the analysis of charging behaviors is first presented. The demands of different charging facilities are subsequently calculated with the inputs of daily energy charging demands and the maximum plug-in number of EVs. Then, the planning region is divided into several disjointed geographical zones, and the charging demand index in each zone determined. Those zones with higher charging demand indices are selected as the candidates for allocating charging facilities. Finally, the planning scenario of EV charging facilities in 2020 in Hangzhou City of China is employed to illustrate the essential features of the developed model.

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考虑充电需求时空特征的电动汽车充电设施规划模型

合理规划充电设施对电动汽车的发展具有重要意义。在此背景下，考虑充电需求的时空特征，提出了基于区域充电需求指数的电动汽车充电设施选址与规模规划模型。提出了一种基于充电行为分析的充电负荷预测模型。然后根据每日能源充电需求和电动汽车最大插电次数的输入，计算不同充电设施的需求。然后，将规划区域划分为几个互不关联的地理区域，并确定每个区域的充电需求指标。选择充电需求指标较高的区域作为配置充电设施的候选区域。最后，以杭州市2020年电动汽车充电设施规划情景为例，阐述了该模型的基本特征。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2016 IEEE 2nd Annual Southern Power Electronics Conference (SPEC)

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