CENTRALIZED ELECTRICAL PROTECTION METHODS, DEVICES AND SYSTEMS FOR MICROGRIDS

A method for training a machine learning classifier system for an electrical fault detection system comprises: acquiring a digital representation of a target microgrid electrical distribution system (2) comprising a plurality of electrical switchgear devices (10), power sources and loads, simulating electrical faults under different operating conditions and/or at a plurality of locations in the digital representation of the target electrical distribution system, determining the simulated electrical response of the electrical distribution system to each simulated electrical fault, generating classifier parameters by associating, by the classifier system, the determined simulated responses to the corresponding simulated electrical faults.