Artificial Neural Network Application for Faults Detection in PV Systems

Power photovoltaic (PV) generation systems operateunder a variety of harsh climate conditions; therefore, failures inthe PV arrays are expected to take place. Online fault detectionis a critical and important task for improving the reliability,efficiency, and safety of PV systems, and if it is not performed, the cost of losing power provided by PV modules would be significant. Furthermore, faults tracing and diagnostic would cost more time and effort on the part of the maintenance crew than can be avoided using advanced techniques. In this paper, an Artificial Neural Network (ANN) logarithm will be proposed in order to detect and classify faults in PV systems. The concept behind this method is to check the faulty PV module against its accurate model.