Harmonics Measurement, Analysis, and Impact Assessment of Electric Vehicle Smart Charging

IF 5.3 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE Open Journal of Vehicular Technology Pub Date : 2024-11-25 DOI:10.1109/OJVT.2024.3505778
Murat Senol;I. Safak Bayram;Lewis Hunter;Kristian Sevdari;Connor McGarry;David Campos Gaona;Oliver Gehrke;Stuart Galloway
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Abstract

Smart charging for Electric Vehicles (EVs) is gaining traction as a key solution to alleviate grid congestion, delay the need for costly network upgrades, and capitalize on off-peak electricity rates. Governments are now enforcing the inclusion of smart charging capabilities in EV charging stations to facilitate this transition. While much of the current research focuses on managing voltage profiles, there is a growing need to examine harmonic emissions in greater detail. This study presents comprehensive data on harmonic distortion during the smart charging of eight popular EV models. We conducted an experimental analysis, measuring harmonic levels with charging current increments of 1A, ranging from the minimum to the maximum for each vehicle. The analysis compared harmonic emissions from both single and multiple EV charging scenarios against the thresholds for total harmonic distortion (THD) and individual harmonic limits outlined in power quality standards (e.g. IEC). Monte Carlo simulations were employed to further understand the behavior in multi-vehicle scenarios. The results reveal that harmonic distortion increases as the charging current decreases across both single and multiple vehicle charging instances. In case studies where several vehicles charge simultaneously, the findings show that as more EVs charge together, harmonic cancellation effects become more pronounced, leading to a gradual reduction in overall harmonic distortion. However, under worst-case conditions, the aggregate current THD can rise as high as 25%, with half of the tested vehicles surpassing the individual harmonic limits.
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电动汽车智能充电谐波测量、分析及影响评估
电动汽车智能充电作为缓解电网拥堵、延迟昂贵的网络升级需求和利用非高峰电价的关键解决方案,正受到越来越多的关注。目前,各国政府正在强制将智能充电功能纳入电动汽车充电站,以促进这一转变。虽然目前的研究主要集中在管理电压分布,但越来越需要更详细地检查谐波发射。本研究提供了八种流行电动汽车车型智能充电过程中谐波畸变的综合数据。我们进行了实验分析,测量了每辆车充电电流增量为1A时的谐波水平,范围从最小到最大。该分析将单个和多个电动汽车充电场景的谐波排放与电力质量标准(例如IEC)中概述的总谐波失真(THD)阈值和单个谐波限值进行了比较。采用蒙特卡罗模拟进一步了解多车场景下的行为。结果表明,无论是单次充电还是多次充电,谐波畸变都随着充电电流的减小而增大。在几辆车同时充电的案例研究中,研究结果表明,随着越来越多的电动汽车一起充电,谐波抵消效应变得更加明显,导致整体谐波失真逐渐减少。然而,在最坏的情况下,总电流THD可高达25%,其中一半的测试车辆超过了个别谐波限制。
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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CiteScore
9.60
自引率
0.00%
发文量
25
审稿时长
10 weeks
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