摘要
幅度变化(AD)与相位变化(PD)是电能质量扰动的重要组成部分。为了深入研究电能质量问题,该文提出一种能确定AD、PD的位置,能在小波变换(WT)域分离它们,从而测量它们的幅度,判别它们的类型的方法。该文方法的显著特点是:平滑滤波器为Haar滤波器的双正交紧支复小波,只须在很少尺度上执行输出移动不变的快速小波变换方法;AD与PD在WT域自动分离,AD幅度、PD幅度与WT输出存在简单关系;只须在一个尺度上提取简单的二进数特征量;只须进行简单的二-十进制转换的识别方法等。这些独特的技术,使得该文方法又快、又准确、又简单。
Amplitude deviation (AD) and phase deviation (PD) are the important compositions of power quality disturbance (PQD). For this reabon, this paper introduces a wavelet-based method for detecting, localizing, separating, quantifying and identifying slight AD and PD. Complex biorthogonal wavelet with the shortest smoothing filter (Haar filter), fast but shift-invariant wavelet transform (WT) at a few scales, automatically separated AD and PD in WT-domain, direct relationship between the WT coefficients and the magnitudes of AD and PD, simple binary feature victor and
binary-decimal conversion identifying process——all the novel
characteristics make the method simple, correct and fast.
出处
《中国电机工程学报》
EI
CSCD
北大核心
2003年第12期12-18,共7页
Proceedings of the CSEE
基金
国家自然科学基金(50077021)~~
关键词
电力系统
电能质量
小波变换
测量
幅度变化
相位变化
识别
仿真
Basic power quality disturbances
Complex biorthogonal wavelet
Shift-invariant wavelet transform
Binary features
Binary-decimal conversion identification.
