HHT based on the LS-SVM and its application in the voltage flicker and harmonic detection of microgrid
Electric Utility Deregulation and Restructuring and Power Technologies（2011）
Abstract
Microgrid contains many distributed resources (DR), such as photovoltaic, wind power, and these DR which have the characteristics of random, volatility and intermittent, will cause voltage fluctuation and flicker, therefore, harmonic pollution will be produced from power electronic devices in DR. 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, a novel HHT based on Least Squares Support Vector Machine (LS-SVM) is applied to analyze voltage flicker and harmonic in microgrid. The results show that the improved HHT method is effective to control the end effects and the time, frequency and amplitude of disturbing signal will be detected quickly and effectively.
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Key words
Hilbert transforms,distributed power generation,flicker noise,least squares approximations,power engineering computing,power grids,power system harmonics,support vector machines,Hilbert-Huang transform,LS-SVM,distributed resources,harmonic detection,harmonic pollution,least squares support vector machine,microgrid,photovoltaic,power electronic devices,time-frequency spectrum,voltage flicker,voltage fluctuation,wind power,HHT,LS-SVM,harmonic,microgrid,voltage flicker,
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