Detection and Localization of Power Quality Disturbances Based on Complex Wavelet

Abstract

电能质量扰动信号的检测与定位为分析扰动产生的原因提供依据。本文提出了一种基于复小波的电能质量扰动检测与定位方法，该方法利用离散复小波变换，提取扰动信号的复小波系数的幅值和相位信息，再利用幅值和相位的复合信息实现对5种暂态电能质量扰动信号的快速准确定位。针对噪声条件下的扰动特征不明显时的定位，提出了一种基于信号预处理的辅助定位方法。仿真表明，该方法能在噪声条件下实现对电能质量扰动信号的快速准确定位。 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.