Examination of EV-grid integration using real driving and transformer loading data
Examination of EV-grid integration using real driving and transformer loading data
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使用实际驾驶和变压器负载数据检查电动汽车并网
DOI：
10.1109/eleco.2015.7394445
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发表时间：
2015
期刊：
影响因子：
--
通讯作者：
Ozan Gurec
中科院分区：
文献类型：
--
作者：
F. Erden;M. Kisacikoglu;Ozan Gurec
日益增长的环境问题和油价上涨将导致电动汽车（EV）在不久的将来激增。电动汽车数量的增加虽然为运输需求提供了绿色和廉价的解决方案，但可能会对公用电网的运行造成限制，这一点应该加以研究。本文从乘用车车主的个人数据跟踪设备收集真实的用户驾驶信息，而不是假设随机分布的出行特征。首先分析所收集的行程数据，以生成关于到家时间和充电状态（SOC）水平的行程特性的统计模型。最后，利用所建立的模型，对不同EV渗透水平下的真实的电网中EV集成的影响进行了仿真分析。为此，使用了Bas肯特Electric Distribution Co.提供的真实的配电Transformer数据。与假设随机情景的研究相比，所提出的方法产生了更现实的结果。
The growing environmental concerns and the increase in oil prices will lead to the proliferation of electric vehicles (EVs) in the near future. The increase in the number of EVs, while providing green and inexpensive solutions to transportation needs, may cause constraints on the operation of the utility grid that should be investigated. In this paper, the real user driving information is collected from individual data tracking devices of passenger vehicle owners instead of assuming randomly distributed trip characteristics. The collected trip data are first analyzed to generate a statistical model of the trip characteristics in terms of home arrival times and state of charge (SOC) levels. The resulting model is then used to simulate and analyze the impact of EV integration in a real grid with different EV penetration levels. For this, real distribution transformer data provided by Başkent Electric Distribution Co. is used. The proposed method produces more realistic results in comparison to the studies assuming random scenarios.