A high accurate harmonic analysis method based on FFT and neural network in power system

A high accurate algorithm is presented for analysis of integer harmonic and non-integer harmonic in power system,which is based on FFT and neural network.A characteristic of the method is that adjustable parameter base function is adopted by neural network.First,the sampled signal is processed with FFT algorithm.By this algorithm,the number,magnitudes,phases,and orders of harmonics are obtained.Second,applying results analyzed with FFT,the number of neural nodes is established according to the number of harmonics,the initial weights of neural network are magnitudes of harmonics,the iterative initial parameters of base function are phases and orders of harmonics.Finally,by training artificial neural network,integer harmonics and non-integer harmonics can be analyzed precisely,at the same time,the close non-integer harmonics can be separated.The simulation results verify the effectiveness and practicability of the algorithm.