A New Generic Searching Algorithm for High Fault Impedance Detection in Telephone System Network

In the thesis the aim was to detect the high impedance fault occurring on radial distribution system using a new generic search algorithm. A Three layer perceptron was used for distinguishing the linear and nonlinear high impedance faults by taking the feature vector as input value of third and fifth harmonic components of feeder voltage and feeder current were used as a feature vector obtained by applying the fast Fourier Transformation on the feeder voltage and feeder current. The values of feeder voltage and feeder current are obtained for two kinds of fault cases by simulating the model of high impedance fault system. The values of third and fifth harmonics were obtained by applying the Fast Fourier Transformation. RMS values of these harmonics were used to train the three layers for classification of these two types of faults detection. Each hidden layer consists of four neurons and one. Output layer consists of two neuron. This network was trained by using the Back propagation algorithm. Index Term: High impedance, Telephone, Tan-Sigmoid Transfer, Fast Fourier Transformation T.Ramkumar et al, International Journal of Computer Science and Mobile Computing, Vol.3 Issue.10, October2014, pg. 687-692 © 2014, IJCSMC All Rights Reserved 688