DefinePK

Abstract

Increase in the power electronic devices had leads to the harmonic contamination. Harmonic analysis is done to know about the origin and cause of the harmonics in the power system. The low order harmonics is monitored because these are very dangerous and cause serious power quality issues. Wavelet networks (WNs) is an effective version of nonlinear signal processing techniques in recent years an adaptive wavelet neural network (AWNN) is the most appropriate for prevailing low-order harmonics estimation. Odd-harmonic components of the voltage/current signal are decomposed into the frequency bands by using the above technique. Instead of one complete cycle data for estimating the harmonics the proposed scheme only requires an only half-cycle data point. The back propagation is used for training of the network parameters which is a easy, fast converging and reliable learning algorithm. The experimental signal which is obtained is examined with the projected method. The output result conforms that AWNN technique is effective in estimating the lower order harmonics, inter-harmonics if they are deviated from the fundamental frequency.