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Based on the improved HHT and its application in the power quality detection of microgrid

机译:基于改进的HHT及其在微网电能质量检测中的应用

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This paper presents a new power quality detection method based on the improved HHT in microgrid. Hilbert-Huang Transform (HHT) can distill these disturbing signals automatically and time-frequency spectrum can be obtained. However, in the application of this method there are serious end effects that mixed mode phenomenon will appear, affecting the detecting results. In order to suppress the end effects, the original data is extended by Least Squares Support Vector Machine (LS-SVM). The results show that the improved HHT method is effective to control the end effects and the frequency and amplitude of disturbing signal will be detected quickly and effectively.
机译:本文提出了一种基于改进的微电网HHT的电能质量检测新方法。 Hilbert-Huang变换(HHT)可以自动提取这些干扰信号,并获得时间频谱。但是,在该方法的应用中,会出现严重的最终结果,即会出现混合模式现象,从而影响检测结果。为了抑制最终影响,原始数据通过最小二乘支持向量机(LS-SVM)进行扩展。结果表明,改进的HHT方法可以有效地控制端效应,可以快速有效地检测出干扰信号的频率和幅度。

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