A Power System Harmonic Detection Method Based on Fractional Wavelet Transform

被引：0
|
作者：
Dou J. [1 ]
Yang X. [2 ]
Yang X. [2 ]
机构：
[1] College of Mathematics and Physics, North China Electric Power University, Changping District, Beijing
[2] China Electric Power Research Institute, Haidian District, Beijing
来源：
Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering | 2024年 / 44卷 / 03期
基金：
中国国家自然科学基金;
关键词：
fractional wavelet transform; harmonic detection; Hilberttransform; simulation test; wavelet transform;
D O I：
10.13334/j.0258-8013.pcsee.221942
中图分类号：
学科分类号：
摘要：
Aiming at the problem that detection of stationary and transient harmonics is easily disturbed by noise, a harmonic detection method for power system based on fractional wavelet transform (FRWT) is proposed. First, the frequency of each spectrum is detected by fast Fourier transform (FFT), and the decomposition level is determined according to the frequency. Then, FRWT is used to decompose and reconstruct the signal, and the fundamental wave and each harmonic component in the signal are separated. Finally, Hilbert transform (HT) is performed on each harmonic component to obtain the frequency and amplitude detection results of each component and the start-end time of transient disturbance. The simulation results of various harmonic signals show that FRWT method can effectively detect the steady-state and transient harmonics in noisy signals and the detection accuracy of each result can be guaranteed even if the signal-to-noise ratio is low. It is proved that FRWT method is an effective new method to detect harmonics. © 2024 Chin.Soc.for Elec.Eng.
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页码：872 / 879
页数：7
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