Meyer小波在电力系统谐波检测中的应用

Application of Meyer wavelet in harmonic detection of power system

目前所采用的小波基函数和快速傅里叶变换算法对谐波信号进行检测分析时存在频带混叠、泄漏现象,使检测出的谐波存在较大的误差,提出了运用具有无限可导性、双正交性和无频带混叠现象的Meyer小波基函数对谐波信号进行小波分解,进而进行准确检测、识别定位的新方法。运用该方法对谐波信号进行仿真试验,并将仿真结果与用db3小波基分析的结果进行了比较,验证了该方法的准确性。

Some problems exists in the detection and analysis of harmonic signals when using current wavelet basis function and fast Fourier transform algorithm, such as spectrum aliasing,spectrum leakage,etc.,and it causes a large error of detected harmonic wave. For the problems,a new accurate detection and identificationmothodis proposed in this paper,which using the Meyerwavelet basis function to make wavelet decomposition on harmonic signals due to its characteristics of infinite conductivity,biorthogonality and no spectrum aliasing phenomenon. After that,a simulation experiment of harmonic signals using this method is conducted and its result is compared with that of db3 wavelet basis analysis,which verified the accuracy and effectiveness of this method.