Projects

Transmission line fault detection and phase selection using ANN

In this project, we developed a software module acting as a protective relay using neural network techniques.

 

The ANN software module employs the back-propagation method to recognize the waveform patterns of impedance in a transmission line. It produces a trip signal if a fault waveform is recognized and no-trip signal otherwise. The input waveforms are generated using SIMULINK, MATLAB 6.1.

 

The generated waveforms then are used as training and testing data for the ANN software. The ANN software is simulated using the Neural Network Toolbox of MATLAB Version 6.1.



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