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

机译:基于改进的HHT的微电网电动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缺点,并引起了全世界的注意。更重要的是,它为电动车充电站的发展带来了机会和挑战。但由于电动车充电器的使用越来越多,微普林的谐波污染变得越来越严重,而且对电气设备和大型电网造成伤害。采取措施管理谐波污染是必要的,但在治理之前,谐波的准确性和实时检测是不可或缺的。因此,本文提出了使用改进的HHT来检测谐波。改进的HHT组合了支持向量回归机器和镜延伸,以改善HHT的最终效果,使瞬时频率和幅度变得更加有意义。更重要的是,改进的HHT可以准确地检测谐波干扰的起始和结束时间。通过仿真结果,可以确认该方法是高效且适用于微电网电动车辆充电站的谐波检测。

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