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Analysis and reduction of total harmonic distortions in distribution system with electric vehicles and wind generators

机译:电动汽车和风力发电机配电系统中总谐波失真的分析和减少

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Harmonic distortion on voltages and currents increases with the increased penetration of Plug-in Electric Vehicle (PEV) loads in distribution systems. Wind Generators (WGs), which are source of harmonic currents, have some common harmonic profiles with PEVs. Thus, WGs can be utilized to subside the effect of PEVs on harmonic distortion. This paper studies the impact of PEVs on harmonic distortions and integration of WGs to reduce it. A harmonic decoupled power flow model is developed, where PEVs and WGs are represented by harmonic current loads and sources, respectively. The developed model is first used to solve harmonic power flow on IEEE 34-node distribution test feeder with low, moderate, and high penetrations of PEVs, then its impact on total harmonic distortions (THDs) is studied. Next, optimal size of WGs are calculated using Genetic Algorithm in the test feeder to reduce voltage and current THDs below the IEEE recommended values.
机译:随着插电式电动汽车(PEV)负载在配电系统中的渗透率的增加,电压和电流上的谐波失真也会增加。作为谐波电流源的风力发电机(WG)具有与PEV共同的一些谐波分布。因此,可以利用WG来消除PEV对谐波失真的影响。本文研究了PEV对谐波失真和WG的集成以减小谐波失真的影响。建立了谐波解耦潮流模型,其中PEV和WG分别由谐波电流负载和源表示。首先将开发的模型用于解决PEV低,中和高穿透率的IEEE 34节点配电测试馈线上的谐波潮流,然后研究其对总谐波失真(THD)的影响。接下来,使用测试馈送器中的遗传算法来计算WG的最佳大小,以将电压和电流THD降低到IEEE建议值以下。

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