Performance Comparison of Fuzzy Logic and Deep Learning algorithms for fault detection in electrical power transmission system

This paper introduces a performance comparison of deep-learning and fuzzy-logic algorithms for power system fault detection. The interconnected IEEE 14-bus transmission power network is considered. Ten faults are integrated and simulated using SimPowerSystems toolbox in Matlab. For each fault condition, each bus voltage and current RMS values were measured in order to test both algorithms. Simulation results show the effectiveness of the deep-learning algorithm with a 100% accuracy in predicting faults compared with fuzzy logic.