PV string fault detection technique based on multi-layer neural network

Scientists in India have proposed using a multilayer neural network to find line-to-ground, line-to-line, and bypass diode faults in PV module strings. They tested the new approach on a 22. 5 kW solar array and reportedly achieved "competitive" accuracy results. A group of researchers from India has proposed a novel PV string fault detection technique for PV strings that utilizes multi-layer neural network (MLNN), a machine-learning technique that can handle complex relationships by learning their hierarchical representations. "Line-to-ground (L-G) and line-to-line (L-L) faults are detected, classified, ...

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