Improving Power Quality of Distributed PV-EV Distribution Grid by Mitigating Unbalance

2019 IEEE International Conference on Industrial Technology (ICIT) Pub Date : 2019-02-01 DOI:10.1109/ICIT.2019.8755068

Md. Rabiul Islam, H. Lu, Md. Jahangir Hossain, Li Li

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引用次数: 1

Abstract

Increasing price of fossil fuels and public awareness encouraged many countries to use clean technologies in transport and electricity generation sector. The advent of smart meters can identify unbalance in PV-EV distribution grid which is a great concern for Distribution Service Operators (DSOs). Several researchers have accessed the degree of unbalance and impact of unbalance on distribution grids considering either distributed PV or EVs. Moreover, a few research work has been done for mitigating unbalance till now. This paper measures unbalance due to unequal distribution of loads and sources among three phases and assess the impact of unbalance on power quality of the PV-EV distribution system by considering different PV and EV penetration levels using DigSILENT Power Factory simulation software. An improved method is proposed to mitigate unbalance using Genetic Algorithm by optimizing load distribution among phases. Finally, the efficacy of the proposed method is evaluated considering unequally distributed residential and EV load scenarios, and it is found that the proposed method can reduce a significant amount of unbalance at all the buses of the distribution grid.

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通过缓解不平衡改善分布式PV-EV配电网电能质量

化石燃料价格的上涨和公众意识的提高促使许多国家在运输和发电部门使用清洁技术。智能电表的出现可以有效地识别光伏-电动车配电网的不平衡，这是配电服务运营商非常关注的问题。一些研究人员研究了分布式光伏和电动汽车对配电网的不平衡程度和不平衡影响。此外，到目前为止，对减轻不平衡也做了一些研究工作。本文采用DigSILENT power Factory仿真软件，通过考虑不同的光伏和电动汽车渗透水平，测量三相负载和电源分布不均匀所导致的不平衡，评估不平衡对PV-EV配电系统电能质量的影响。提出了一种利用遗传算法优化各阶段间负荷分配来缓解不平衡的改进方法。最后，在住宅和电动汽车负荷分布不均匀的情况下，对所提方法的有效性进行了评估，发现所提方法可以显著减少配电网所有母线的不平衡。

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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2019 IEEE International Conference on Industrial Technology (ICIT)

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