Technical Coordination of Aggregated Electric Vehicle Charging and Residential Loads at the Medium Voltage Level

Ferhatcan Dumlu, M. A. Zehir
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Abstract

Despite the coronavirus pandemic, the market share of electric vehicles (EV) has increased in recent years. For this reason, planning of new charging stations and active operation of charging stations have become more important. Studies about the integration of electric vehicles are very common, but the parameters and models adopted in these studies are simplified and analyses are made by making contradictory general assumptions. Therefore, there is a need for electric vehicle studies to be carried out with more detailed and realistic parameters. This study includes a wide range of normal and fast charging sessions and the housing demand of several customers. An aggregated charging management solution is developed, to keep the overall demand below the maximum limit at the medium voltage transformer level. This study provides a way to determine the suitability of the infrastructure or the integration challenges in the areas where the installation of parking and charging stations is aimed and proposes solutions. Initial simulation results show peaks at specific time intervals, especially in evening hours and these peaks cause overloads. To solve this problem two different methods were used. The first method is the random selection method, the second method is the sorted selection method. After the solutions are applied, high load values decrease, both worked successfully but the sorted selection method was more flexible and obtained more usable results. On the other hand, random method generally gave mix of good and bad results.
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中压水平下电动汽车充电与居民负荷的技术协调
尽管新型冠状病毒大流行,但近年来电动汽车的市场份额有所增加。因此,新充电站的规划和充电站的积极运营变得更加重要。关于电动汽车一体化的研究非常普遍,但这些研究中采用的参数和模型都进行了简化,并通过相互矛盾的一般假设进行了分析。因此,有必要对电动汽车进行更详细、更现实的参数研究。本研究包括了广泛的正常充电和快速充电时段以及几个客户的住房需求。开发了一种聚合充电管理解决方案,使总需求低于中压变压器水平的最大限制。本研究提供了一种方法来确定基础设施的适用性或在停车场和充电站安装的目标区域的集成挑战,并提出解决方案。初始模拟结果显示在特定的时间间隔出现峰值,特别是在晚上,这些峰值会导致过载。为了解决这个问题,使用了两种不同的方法。第一种方法是随机选择方法,第二种方法是排序选择方法。应用解后,高负荷值降低,两者均成功,但排序选择方法更加灵活,获得了更实用的结果。另一方面,随机方法的结果好坏参半。
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