A Machine Learning Approach for Classifying Faults in Microgrids using Wavelet Decomposition

In this paper, we propose a machine learning approach for fault identification and protection of microgrid circuits. We model a representative microgrid architecture found in an industrial facility in simulation to motivate and demonstrate our approach. In particular, we formulated a 5-class classification problem to identify 5 different fault scenarios. Three-phase voltage and current waveforms corresponding to each fault type were analyzed...