Impact of aggregated electric vehicle home charging in the sub-transmission grid

Alice Jansson, Olof Samuelsson, Francisco J. Márquez-Fernández
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Abstract

The increasing global concern for greenhouse gas emissions has led to a fast pace in the transition away from fossil fuels in the transport sector. The share of electric passenger cars is increasing quickly, introducing new loads on the power grid. These loads primarily appear at the distribution grid level, where most of the charging occurs in the form of overnight charging at home. Although the impact on the distribution grid capacity from electric car charging is well researched, little effort has been put into understanding the aggregated impact at higher voltage levels. This study develops a probabilistic methodology for estimating the aggregated home charging demand of a 100 % electrified car fleet at the sub-transmission grid level. The resulting risk of overload in the primary substation transformers is estimated through a probabilistic load flow simulation. The full methodology is applied on a case study in southern Sweden using the best available vehicle and transport data, and a real grid model of the area. The results of the study show how aggregated home charging at low voltage levels may increase the average substation transformer loading by up to 72 %. This indicates that the aggregated home charging loads cannot be ignored at the sub-transmission level. More specifically, 11 out of 86 studied substations do not have enough capacity to feed the simulated home charging without transformer overloads.
分组电动汽车家庭充电对亚输电网的影响
全球对温室气体排放的日益关注,导致交通运输部门加快了从化石燃料转型的步伐。电动乘用车的份额正在迅速增加,给电网带来了新的负荷。这些负荷主要出现在配电网层面,其中大部分充电以家庭夜间充电的形式发生。尽管电动汽车充电对配电网容量的影响已经得到了很好的研究,但对更高电压水平下的总体影响的了解却很少。本研究开发了一种概率方法,用于估计100%电动汽车车队在亚输电网层面的总家庭充电需求。通过概率负荷流模拟,估计了变电站一次变压器的过载风险。完整的方法应用于瑞典南部的一个案例研究,使用最好的可用车辆和运输数据,以及该地区的真实网格模型。研究结果表明,在低电压水平下,聚合家庭充电如何使变电站变压器的平均负荷增加高达72%。这表明,在子传输层面,家庭充电负荷的总和是不可忽视的。更具体地说,研究的86个变电站中有11个没有足够的容量来满足模拟的家庭充电而不出现变压器过载。
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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