A power harmonic detection method based on wavelet neural network

Harmonic detection technology is one of the key technologies of active power filter (APF). Its development decides the development of APF technology. Due to the grid harmonic inherent characters, like non-linear randomness, distribution, non-stationary and factors influencing the complexity of other features, it is difficult to accurately detect the harmonic. Therefore the research method for detecting the harmonics in the power system is very important. In this paper, a wavelet and neural network combined constitute the harmonic detection method based on wavelet neural network is giving, and design the wavelet neural network, the simulation results showed that the method can be real-time, accurate detection of the grid harmonic.