Wavelet Threshold De-noising of Power Quality Signals

Abstract

It is an important application of wavelet analysis in power system to de-noise power quality (PQ) signals so as to detect and locate the disturbing points. At present soft threshold and hard threshold de-noising methods are widely used. To improve the de-noising effect of PQ signals, an improved algorithm based on soft threshold and hard threshold de-noising methods is put forward. The key factor of wavelet thresholding de-noising is how to construct thresholding function and select the threshold. The method could combine the advantages of hard and soft threshold methods, and then achieve better access to estimate the threshold of wavelet coefficients by adjusting the parameters properly, making the improved threshold function between the soft and hard threshold functions. It could not only overcome the shortcomings of poor de-noising effect while using hard threshold method,but also effectively solve the difficult problem that leads to signal distortion within soft threshold method beacause of too smooth. The simulation results show that this method can reduce the loss of information while de-noising. The enhancement of SNR and the reduction of the RMSE indicate that the performance of our method is better than soft threshold and hard threshold de-noising methods.