基于数学形态学消噪的电能质量扰动检测方法

提出了一种利用数学形态滤对波形进行预处理，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。

DETECTION OF POWER QUALITY DISTURBANCES BASED ON MATHEMATICAL MORPHOLOGY (MM) FILTER

A new scheme for power transient signal analysis in noisy environment is proposed in this paper.This algorithm aim s to improve the filter perform ance when such filter is applied to filter the random and pulsed noises.By use of the preset filter unit based on m athem atical morphology,the disturbance wave is held,m eanwhile 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 MATL AB program demonstrate the effectiveness of this algorithm.It is indicated that this integrated morphology- wavelet filter algorithm has less com putational com plexity than single low- pass filter and m ulti- resolution waveform transform,which m akes it possible to be implemented in industrial product.