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The new method of harmonic detection in microgrid electric vehicle charging stations based on the improved HHT

机译:基于改进HHT的微电网电动汽车充电站谐波检测新方法

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摘要

The appearance of microgrid solves the shortcomings of distributed generation and attracts the attention of the whole world. What's more, it has brought both opportunities and challenges for the development of electric vehicle charging stations. But due to the increasing use of electric vehicle chargers, the harmonic pollution of microgrid is becoming more and more serious, and it causes harm to both electric equipments and large power grid. Taking measures to govern the harmonic pollution is imperative, but before governance, the accurate and real-time detection of harmonic is indispensible. So this paper puts forward to use the improved HHT to detect the harmonics. The improved HHT combines the support vector regression machine and the mirror extension to improve the end effect of HHT and make the instantaneous frequency and amplitude become more meaningful. What's more, the improved HHT can accurately detect the starting and ending time of harmonic disturbances. Through the simulation results, it can be confirmed that this method is efficient and applicable for the harmonic detection in microgrid electric vehicle charging stations.
机译:微电网的出现解决了分布式发电的弊端,引起了全世界的关注。而且,它给电动汽车充电站的发展带来了机遇和挑战。但是,由于电动汽车充电器的使用日益增多,微电网的谐波污染越来越严重,对电气设备和大型电网均造成危害。必须采取措施治理谐波污染,但是在治理之前,准确,实时地检测谐波是必不可少的。因此,本文提出使用改进的HHT来检测谐波。改进的HHT将支持向量回归机和镜像扩展相结合,以改善HHT的最终效果,并使瞬时频率和幅度变得更有意义。而且,改进的HHT可以准确检测谐波干扰的开始和结束时间。通过仿真结果,可以证明该方法是有效的,适用于微电网电动汽车充电站的谐波检测。

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