Detection and Identification of Transient Power Quality Disturbances Based on Wavelet Transform and Its Spectral Kurtosis

LIU Xiangyin; SU Shiping; SU Yuankai; LUO Xuelian; OUYANG Mengmeng

doi:10.14044/j.1674-1757.pcrpc.2020.02.025

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Detection and Identification of Transient Power Quality Disturbances Based on Wavelet Transform and Its Spectral Kurtosis

更新时间：2024-09-14

- Detection and Identification of Transient Power Quality Disturbances Based on Wavelet Transform and Its Spectral Kurtosis
- POWER CAPACITOR & REACTIVE POWER COMPENSATION Vol. 41, Issue 2, Pages: 140-145(2020)
- 作者机构：
  
  1. 长沙理工大学电气与信息工程学院
  2. 国网湖南省电力公司检修公司
- 作者简介：
- 基金信息：
- DOI：10.14044/j.1674-1757.pcrpc.2020.02.025
  CLC： TM711
- Published：2020，
- 稿件说明：
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[1]刘香银,粟时平,粟渊恺,罗雪莲,欧阳盟盟.暂态电能质量扰动的小波谱峭度法检测与辩识研究[J].电力电容器与无功补偿,2020,41(02):140-145+151.

LIU XIANGYIN, SU SHIPING, SU YUANKAI, et al. Detection and Identification of Transient Power Quality Disturbances Based on Wavelet Transform and Its Spectral Kurtosis. [J]. Power capacitor & reactive power compensation, 2020, 41(2): 140-145.
[1]刘香银,粟时平,粟渊恺,罗雪莲,欧阳盟盟.暂态电能质量扰动的小波谱峭度法检测与辩识研究[J].电力电容器与无功补偿,2020,41(02):140-145+151. DOI： 10.14044/j.1674-1757.pcrpc.2020.02.025.

LIU XIANGYIN, SU SHIPING, SU YUANKAI, et al. Detection and Identification of Transient Power Quality Disturbances Based on Wavelet Transform and Its Spectral Kurtosis. [J]. Power capacitor & reactive power compensation, 2020, 41(2): 140-145. DOI： 10.14044/j.1674-1757.pcrpc.2020.02.025.

摘要

针对暂态电能质量扰动和噪声的复杂性

探讨了基于小波谱峭度理论的暂态电能质量扰动检测与辨识方法。在分析了小波谱峭度理论基本原理的基础上

重点阐述了运用Morlet小波谱峭度方法检测暂态电能质量扰动的实现过程。首先

使用Morlet小波将主动配电网中的暂态扰动信号进行小波去噪与变换;然后

利用分解后得到的一系列小波系数计算其谱峭度最大值及峭度谱;其次

通过均方根值算法计算出其有效值相对值

完成对扰动信号的检测与辨识;最后

借助于计算机仿真验证所述方法的可行性和准确性。理论分析和仿真结果证明:该方法检测速度快、检测结果辨识度高、通用性强;辨识准确度度满足工程应用

实用性强。

Abstract

Aiming at the complexity of transient power quality fluctuation and noise

the detection and identification method of transient power quality disturbance based on wavelet kurtosis theory is discussed.The realization process of detecting transient power quality disturbance by using Morlet wavelet spectrum kurtosis method is emphasized on the basis of analysis of the basic principle of wavelet spectrum kurtosis theory.Firstly

Morlet wavelet is used to perform de-noising and transform from the transient fluctuation signal of the active distribution network.Then

the maximum spectral kurtosis and kurtosis spectrum are calculated by a series of wavelet coefficients.After that

the RMS algorithm is used to calculate the relative value of the root mean square value so to complete the detection and identification of the fluctuation signal.Finally

the feasibility and accuracy of the method are verified by computer simulation.It is shown by the theoretical analysis and simulation result that the method has such features as fast detection speed

high identification of detection result

strong versatility and practicability and the identification accuracy can meet the engineering applic ation.

关键词

小波变换谱峭度电能质量

Keywords

wavelet transformspectral kurtosispower quality

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