基于数学形态学消噪的电能质量扰动检测方法  

DETECTION OF POWER QUALITY DISTURBANCES BASED ON MATHEMATICAL MORPHOLOGY MM FILTER

作　　者：岳蔚[1] 刘沛[1] 

机构地区：[1]华中科技大学电气与电子工程学院,湖北省武汉市430074

出　　处：《电力系统自动化》2002年第7期13-17,共5页Automation of Electric Power Systems

基　　金：国家自然科学基金资助项目 (5 96 770 10 ;5 0 1770 11)

摘　　要：提出了一种利用数学形态滤波对波形进行预处理 ,然后用小波检测电力系统扰动的方法。该算法着力解决电力系统扰动中滤除随机噪声和脉冲噪声的困难 ,利用数学形态学设计的前置滤波单元在有效抑制各种噪声的同时 ,较好地保持了扰动的基本形状 ;小波变换算子则有效地检测出扰动并进行精确定位。 MATLAB仿真表明所提算法可以准确检测电能扰动时的波形畸变点。同时 ,形态学—小波综合算法的计算量较单一的低通滤波器和多尺度小波变换的计算量小 ,有利于工程实现。A new scheme for power transient signal analysis in noisy environment is proposed. This algorithm aims to improve the filter performance when such filter is applied to filter the random and pulsed noises. By use of the preset filter unit based on mathematical morphology, the disturbance wave is held, meanwhile a variety of noises can be greatly suppressed. Wavelet transform provides such algorithm that the disturbance can be detected and accurately located. Based on the above integrated filter algorithm, various kinds of power quality disturbance in noisy condition can be detected. Simulations based on MATLAB program demonstrate the effectiveness of this algorithm. It is indicated that this integrated morphology-wavelet filter algorithm has less computational complexity than single low-pass filter and multi-resolution waveform transform, which makes it possible to be implemented in industrial product.

关 键 词：电能质量 扰动辨识 小波分析 数学形态学 形态滤波器 扰动检测 电力系统 

分 类 号：TM934.6[电气工程—电力电子与电力传动]