Probabilistic Impact Assessment of Residential Charging of Electric Motorcycles on LV Feeders

Courtney K. Rhoda, B. Bekker, J. Chihota
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引用次数: 1

Abstract

Motorcycles form a popular mode of transport in East African countries, and policies in countries like Rwanda are encouraging a transition to electric motorcycles (EMs). This paper aims to identify the impacts of EM charging on a low voltage residential distribution network in future high uptake scenarios. A stochastic-probabilistic analysis is conducted on a residential network, looking at the effect of EM charging on voltage level, voltage unbalance as well as cable and transformer loading. The Monte Carlo Simulation method is used to account for the randomness in the placement of EMs along the network while the extended Herman Beta transform is used to account for the variability in the residential consumer loads. This paper found transformer overloading to be the limiting factor with regard to EM uptake for the sample network modelled. A sensitivity analysis then highlighted the effects that the feeder properties, transformer size as well as EM and residential load model had on the simulation outcome. The sensitivity analysis found the results most sensitive to the residential load modelling as this affected the transformer loading prior to any EM charging.
电动摩托车居民充电对低压馈线的概率影响评估
在东非国家,摩托车是一种流行的交通方式,卢旺达等国的政策鼓励向电动摩托车过渡。本文旨在确定电磁充电对未来高吸收情景下低压住宅配电网的影响。本文对某住宅电网进行了随机-概率分析,考察了电磁充电对电压水平、电压不平衡以及电缆和变压器负荷的影响。蒙特卡罗模拟方法用于考虑电网中电磁发生器位置的随机性,而扩展赫尔曼贝塔变换用于考虑居民消费负荷的可变性。本文发现变压器过载是模拟样本网络电磁吸收的限制因素。灵敏度分析强调了馈线特性、变压器尺寸以及EM和住宅负荷模型对仿真结果的影响。灵敏度分析发现,结果对住宅负荷建模最为敏感,因为这会在任何电磁充电之前影响变压器负载。
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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