Implementation of Quasi-Static Time Series Simulations for Analysis of the Impact of Electric Vehicles on the Grid

C. Allenspach, Reto Högger, A. Obushevs, P. Korba, Helen Reist
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引用次数: 1

Abstract

In this paper, symmetrical electric vehicle charging impacts in existing low-voltage distribution grid are investigated throughout proposed methodology and their results analysed. Symmetrical loading- and voltage-related impacts are assessed for the extensive grid. A synthetic EV mix pattern was used with the purpose to demonstrate a universal observation of charging impacts. These patterns were allocated quasi-randomly to the points of common coupling within the grid based on predefined scenarios - 8, 10, 12 and 20 percent. Subsequently, quasi-static time series simulations for a duration of one year in 10-minute time steps were executed. Consequently, this paper yields results, which offer practical insight in the maximum share of electric vehicle charging in low-voltage distribution grids and provide guidance for future decision-making of distribution grid operators.
电动汽车对电网影响分析的准静态时间序列仿真实现
本文利用所提出的方法研究了现有低压配电网中电动汽车对称充电的影响,并对结果进行了分析。对大电网的对称负载和电压相关影响进行了评估。为了证明对充电影响的普遍观察,采用了一种合成的电动汽车混合模式。这些模式被准随机地分配到基于预定义场景的网格内的公共耦合点——8%、10%、12%和20%。随后,以10分钟的时间步长进行了为期一年的准静态时间序列模拟。本文的研究结果对低压配电网中电动汽车充电的最大份额具有实际意义,并为配电网运营商未来的决策提供指导。
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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