Impact Assessment of Charging of Electric Vehicle on Residential Distribution Network of Bangladesh

Md. Shadman Abid, Hasan Jamil Apon, Khandaker Adil Morshed, Fahim Abid
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引用次数: 2

Abstract

This paper presents the impact of electric vehicle (EV) integration on urban residential distribution network in Bangladesh. A probabilistic load flow algorithm has been developed in this study to analyze system parameters for a selected residential feeder of a middle income economic zone in Dhaka, Bangladesh. The algorithm is based on Monte Carlo simulation that considers randomness of EV charging and vehicle mobility patterns to provide a probabilistic load profile for observing the effects of EV integration in distribution grids. Three scenarios of penetration (10%, 20%, and 40%) were considered replacing conventional vehicle fleet. Furthermore, implications of seasonal variation in the impact of electric vehicles on the respective network were investigated. Based on Monte Carlo simulation, an evaluation is presented to analyze aggregated power demand, energy demand, losses, line ampacity violations, voltage security margin violations and average voltage profiles. This study can be used to determine the critical level of EV penetration that does not contravene the grid security margin for a specific urban neighborhood in Bangladesh.
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电动汽车充电对孟加拉国居民配电网的影响评价
本文介绍了电动汽车(EV)一体化对孟加拉国城市住宅配电网的影响。本研究开发了一种概率潮流算法,用于分析孟加拉国达卡中等收入经济区选定住宅馈线的系统参数。该算法基于蒙特卡罗模拟,考虑了电动汽车充电和车辆移动模式的随机性,为观察电动汽车在配电网中的整合效果提供了一个概率负荷分布。研究人员考虑了三种方案(10%、20%和40%)来取代传统车辆。此外,还研究了电动汽车对各自网络影响的季节变化的含义。基于蒙特卡罗模拟,提出了一种综合电力需求、能源需求、损耗、线路容量违规、电压安全裕度违规和平均电压分布的评估方法。该研究可用于确定孟加拉国特定城市社区不违反电网安全边际的电动汽车渗透率临界水平。
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