Application of Wavelet Neural Network to Power Harmonic Detection

Guo Xu-hang · Science Technology and Engineering · 2010

Harmonic detection technology is one of the key technologies determining the development of active power filter (APF).It is difficult to detect the real-time harmonic accurately because of the features of power network harmonic,such as inherent nonlinear,random,distribution,non-stationary and the complexity of impact factors,so the study of the harmonic's detection methods is very important for power system.A harmonic detection method based on wavelet neural network combining wavelet with neural network is proposed,and the wavelet neural network.The simulation results show that this method can detect the power network harmonic accurately and realtime.

Read the paper · More papers on PaperTik