基于小波去噪的FFT农网谐波检测  

The Foirier Transform Harmonic Detection in Rural Network Based on Wavelet Denoising

作　　者：陈春玲[1] 钱伟 

机构地区：[1]沈阳农业大学,沈阳110161 [2]盘锦光华科工贸公司,辽宁盘锦124010

出　　处：《农机化研究》2011年第9期70-73,共4页Journal of Agricultural Mechanization Research

基　　金：辽宁省教育厅高校科研A类项目(2008635)

摘　　要：谐波检测的准确性直接影响对电网谐波污染状况的评估以及抑制措施的实施,采用小波软阈值去噪对含噪的电力谐波信号进行降噪处理,再利用快速傅立叶变换对去噪后的信号进行分析,提取各次谐波含量和总谐波失真率。在Matlab环境下进行仿真检测,结果表明:小波去噪后检测的各次谐波含有率更加接近于原始信号谐波含有率水平,去噪方法提高了谐波信号检测的准确性,这种小波去噪与FFT结合的方法适合在谐波检测系统或装置中应用。The veracity of harmonic detection directly affect the evolution of harmonic pollution status of power network and the implementation of suppression measures,using wavelet soft-threshold de-noising to reduce the noises in the noised power harmonic signals,and then using fast Fourier transform to analysis the signal which has been reduced noises,extracting the harmonic current and total harmonics distortion.In the Matlab simulation environment testing,results show that the detecting harmonic ratio after wavelet de-noising is closer to pure signal harmonic ratio,de-noising method improves the veracity of harmonic signal detection,this method base on FFT and wavelet de-noising for harmonic detection is suitable for the application of harmonic detection systems and devices.

关 键 词：谐波检测 小波去噪 傅立叶变换 总谐波失真率 

分 类 号：TM712.2[电气工程—电力系统及自动化]