Load modeling for electric taxi battery charging and swapping stations: Comparison studies

2016 IEEE 2nd Annual Southern Power Electronics Conference (SPEC) Pub Date : 2016-12-01 DOI:10.1109/SPEC.2016.7846135

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

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引用次数: 5

Abstract

With the development of electric vehicles (EVs), the existing power system concerned will be challenged from several aspects due to the spatial and temporal stochastic distribution of the EV charging load. Given this background, a model for simulating the charging load of electric taxis under fast charging mode and battery swapping mode considering the passenger trip characteristics, stochastic driving patterns and charging behaviors is developed in this paper. First, the concept of traffic zone of the gridded road map as well as seeking, traveling and charging route of EVs is introduced. Then, Monte Carlo simulations of EV driving patterns and charging behaviors are carried out considering typical passenger trip characteristics and the impacts of different charging operation modes. Finally, a comparative case study of the EV charging load in Hangzhou City of China is carried out to illustrate the essential features of the proposed model. The impacts of different charging operation modes on the spatial and temporal distribution of EV charging load are also addressed.

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电动出租车电池充电站和换电站负荷建模:比较研究

随着电动汽车的发展，电动汽车充电负荷的时空随机分布将对现有的电力系统带来多方面的挑战。在此背景下，建立了考虑乘客出行特性、随机驾驶模式和充电行为的电动出租车快速充电模式和换电池模式下的充电负荷仿真模型。首先，介绍了网格化路线图的交通区域概念，以及电动汽车的寻路、行驶和充电路线;然后，考虑典型乘客出行特征和不同充电操作方式的影响，对电动汽车的驾驶模式和充电行为进行蒙特卡罗仿真。最后，以中国杭州市的电动汽车充电负荷为例进行了比较研究，以说明所提出模型的基本特征。研究了不同充电方式对电动汽车充电负荷时空分布的影响。

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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