Neural Network Approach for Fault Detection in Substations
Elmahdi Khoudry, Abdelaziz Belfqih, Mohamed Nouh Dazahra · 2017
This paper presents a fault detection algorithm for substations. The algorithm was based on neural network approach. The neural network was trained with Levenberg-Marquardt backpropagation algorithm and the training set was formed from the input-output pairs (generator currents, load currents) generated by the substation physical model which was modeled in SIMULINK® by an ideal generator, a three phase transformer and a resistive load.