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Artificial Neural Network based Fault Classifier and Distance Locator

Author(s):

Brijesh Rajubhai Solanki , Shantilal Shah Engineering College, Bhavnagar; Dr. MahipalSinh C. Chudasama, Shantilal Shah Engineering College, Bhavnagar

Keywords:

Artificial Neural Network, Fault distance locator, Fault type classifier.

Abstract

An Artificial Neural Network (ANN) based accurate fault classifier and fault distance locator for a transmission line is presented in this paper. The proposed strategy is implemented on a transmission line fed by the ideal voltage sources at both ends. The database to train the artificial neural network is generated with a MATLAB program. The neural network is trained for an accuracy of detection of ± 1 km in terms of fault distance. The complete scheme is implemented using MATLAB-SIMULINK. Transient fault currents are used to train the network. Hence, if we measure the fault currents with the digital instruments and feed them to the neural network, this module will be helpful to quickly determine the type and distance of fault which is the main contribution of this paper. Since quick detection of type and location of fault is possible, system reliability improves.

Other Details

Paper ID: IJSRDV2I2232
Published in: Volume : 2, Issue : 2
Publication Date: 01/05/2014
Page(s): 238-242

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