Harmonic detection method in power system based on empirical wavelet transform

被引：0
|
作者：
Wu J. [1 ]
Mei F. [2 ]
Chen C. [1 ]
Pan Y. [1 ]
Li T. [1 ]
Zheng J. [1 ]
机构：
[1] School of Electrical Engineering, Southeast University, Nanjing
[2] College of Energy and Electrical Engineering, Hohai University, Nanjing
来源：
Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control | 2020年 / 48卷 / 06期
关键词：
amplitude modulated-frequency modulated component; empirical wavelet transform (EWT); harmonic detection; Hilbert transform; noise;
D O I：
10.19783/j.cnki.pspc.190470
中图分类号：
学科分类号：
摘要：
In order to detect stationary and transient harmonics under noise interference, an empirical wavelet transform based harmonic detection method for power system is proposed for the first time. Firstly, the empirical wavelet transform is used to extract a set of AM-FM components from power harmonic signals, and the separation of each harmonic and fundamental wave signals is realized. Then, the separated harmonic components are transformed by Hilbert transform to obtain the amplitude and frequency parameters of each harmonic and the start-end time of transient disturbance. The simulation results of multi-class harmonic signals show that the proposed method avoids the mode aliasing problem existing in traditional Hilbert-Huang transform effectively and realizes the adaptive decomposition of multi-frequency harmonic signals even at low signal-to-noise ratio. It ensures the accuracy of detection results of various parameters and has good noise robustness and real-time detection. © 2020 Power System Protection and Control Press. All rights reserved.
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页码：136 / 143
页数：7
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