Design and simulation of distance protection relay for high voltage transmission line using artificial neural networks

This thesis presents an approach to design a distance protection relay that performs the function of detection, classification, and localization of the fault on high voltage transmission line. The method is based on combination of discrete wavelet transform as a technique for processing signal and artificial neural networks using the extracted features from current signals of fault by discrete wavelet transform as inputs to artificial neural networks that will be trained by using back-propagation algorithm to differentiate between non faulty and faulty cases in addition to, classification of fault type, and localization of the fault for power transmission line. Matlab/Simulink is utilized for designing the model of power transmission line and simulating the different types of faults for various fault resistance and distance as well as design, training, and testing of neural networks for detector, classifier, and locator.