A new method of power quality de-noising based on the wavelet neural network
Kun Fang · Power System Protection and Control · 2010
In power system,there is always heavy noise in power quality signals,which influences the monitoring results badly.Wavelet meural network is introduced to denoise the power quality signals,denoising principle is deduced.Denoising simulating research is taken on common power quality signals such as harmonics,voltage swell,sag and interruption.The results show that the denoising model can improve power quality signal SNR threshold.Using wavelet network to de-noise power quality signal can obtain the ideal de-noising effects and reserve power quality signal feature information.