基于希尔伯特-黄变换和小波变换的500kV变电站谐振数据对比分析

The harmonic resonance data contrast analysis of a 500 kV substation based on HHT and WT

谐振数据分析是谐振实时监测装置研制和谐振抑制的基础。文章对500 k V变电站实际谐振数据,采用希尔伯特-黄变换和小波变换方法进行对比分析。首先对谐振数据进行经验模态分解(EMD)得到谐波信号的本征模态函数(IMF),再对各个IMF进行希尔伯特变换,获得各个IMF分量的瞬时频率和瞬时幅度;然后选取合适的小波基对同组谐振数据进行分析;最后总结了两种检测方法的优缺点和500 k V变电站实际谐振谐波成分的幅频特性。

Harmonic resonance data analysis is the foundation of the real-time monitoring device development and the harmonic suppression. In this paper,the HHT and WT are both used to carry on the contrast analysis to the actual harmonic resonance data of a 500 k V substation. Firstly,the intrinsic mode functions（ IMF） of the harmonic resonance data is obtained through empirical mode decomposition（ EMD）,then,the instantaneous frequency and instantaneous amplitude of each IMF component is obtained by the Hilbert transform in each IMF,and then,the appropriate wavelet was selected to analyze the same group of harmonic resonance data. Finally,this paper summarizes the advantages and disadvantages of two kinds of detection methods,as well as the amplitude frequency characteristics of harmonic resonance data in a 500 k V substation.