摘要
近年来,电能质量扰动问题引起越来越多国家电力部门和用户的关注,对其进行正确的检测和分类十分必要。介绍了基于Fourier变换(FT)、小波变换(WT)、小波包变换(WPT)、人工神经网络(ANN)和HiddenMarkov模型(HMM)等理论的电能质量扰动检测和分类方法;阐述了电能质量扰动检测和分类的研究现状和方向。对比分析了各种方法之利弊,指出了基于FFT尺度分类法和基于WPT的HMM模型法的分类器优于其他检测和分类方法。
In recent years,power departmen ts and users are becoming more and more concerned about the power quality distur bance,therefore a correct detection and classification is badly required.Subsequ ently it introduces a theory on the dete ction and classification of power qualit y,which based on FT,WT,WPT,ANN and HMM.At the same time,it elaborates on the res earch status and direction of power qual ity disturbance.It points out advantages and disadvantages of the above-mentione d method,and it believes that the classi fication method based on FFT and HMM sep arator based on WPT is superior to that of others.
出处
《东北电力技术》
2005年第5期5-8,共4页
Northeast Electric Power Technology
关键词
电能质量扰动
傅立叶变换
小波变换
小波包变换
人工神经网络
马尔可夫模型
Power quality distur bance
Fourier transform
Wavelet transform
Wavelet packet transform
Artificial neural networ k
Markov model
