﻿ 基于复小波的电能质量扰动检测与定位

# 基于复小波的电能质量扰动检测与定位Detection and Localization of Power Quality Disturbances Based on Complex Wavelet

Abstract: Detection and localization of power quality disturbance signals provide a basis to analyze the causes of the disturbance. This paper presents a complex wavelet-based power quality disturbance detection and localization. First of all, the amplitude and phase of complex wavelet coefficients are extracted by discrete complex wavelet transform, and then, the composite information of amplitude and phase is used to achieving fast and accurate positioning of 5 kinds of transient power quality disturbance signals. Under the condition of noise and disturbance characteristics is not obvious, this paper proposes an auxiliary positioning method based on signal preprocessing. Simulation shows, under the condition of noise, the method can achieve fast and exact positioning of power quality disturbance signals.

[1] 唐炬, 谢颜斌, 朱伟等 (2006) 用于提取GIS局部放电信号的正交紧支复小波构造研究. 电工技术学报, 21, 87- 91.

[2] 耿云玲, 王群, 何怡刚 (2006) 基于复数小波相位信息的电能质量扰动的检测, 定位与分类. 电工技术学报, 21, 112-116.

[3] Vetterli, M. and Herley, C. (1992) Wavelets and filter banks: Theory and design. IEEE Transactions on SP, 40, 2207- 2232.

[4] 何建军, 周宏 (1999) 电力系统奇异信号的复值小波分析. 中国电机工程学报, 19, 1-4.

[5] 何正友, 钱清泉 (2003) 电力系统暂态信号分析中小波基的选择原则. 电力系统自动化, 27, 45-48.

[6] Brito, N.S.D., Souza, B.A. and Pires, F.A.C. (1998) Daubechies wavelets in quality of electrical power. Proceeding of IEEE ICHQP, Athens, 511-515.

[7] 刘守亮, 肖先勇 (2005) Daubechies复小波的生成及其在短时电能质量扰动检测中的应用. 电工技术学报, 20, 106-110.

[8] 张全明, 刘会金 (2008) 最小二乘支持向量机在电能质量扰动分类中的应用. 中国电机工程学报, 28, 106-110.

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