Application of Machine Learning algorithms for power systems fault detection

This paper deals of the application of deep-learning and support vector machine algorithms for the power system fault detection. The power system considered is a standard IEEE 14-bus. Faults are integrated to the power system and simulated using Sim Power Systems toolbox of Matlab. All data obtained, the voltages and the currents of each bus, are saved and used to test both algorithms. Simulation results show the superiority of the deep-learning algorithm compared with support vector machines algorithm.