Instrumentation of real-time acquisition system for diagnosis in a photovoltaic generator

Abstract

Predictive maintenance provides a better return on investment when considering the operation of a photovoltaic generator (PVG). It requires the installation of good instrumentation, able of acquiring data in real time, linked to the performance of the energy production system based on PV panels. Through this instrumentation judiciously chosen and embedded in Arduino, we wish to save the real data of the production, in order to then submit them to an appropriate diagnosis method. This will make it possible to undertake preventive maintenance actions thanks to the real-time monitoring of the production performance of a PVG either instantly for connected sites or a posteriori for isolated production sites.