基于独立成分分析的谐波检测

谐波对电力系统及电气设备有很大危害。谐波检测是抑制谐波的重要环节,由观测信号分离所含的未知谐波信号是谐波检测的目的。作者基于独立成分分析算法的有关理论,将该算法应用到谐波检测中。该方法只需一个周期的待测信号,通过构造适当的混合信号,便可使用独立成分分析算法进行运算。利用MATLAB仿真含有谐波的信号,应用该方法进行检测,结果表明,该方法不但可检测谐波次数、幅值和初相角,还可检测间谐波,且检测精度较高。

Independent Component Analysis for Harmonic Detection

Harmonic detection plays an important role in power quality research due to the harmful impact of harmonics on power system and electric apparatus,and it is also the precondition of harmonic suppression.A novel harmonic detection method based on independent component analysis algorithm is proposed in this paper,which utilizes the characteristics of the algorithm to analyze the observed signals.The method can be performed by building proper signals on the basis of one cycle duration of the observed signal.The method is tested with Matlab,which is convenient to generate harmonic signals.Simulation results show the validity of the proposed method as well as the capability of detecting interharmonics with a high presision.