Real-Time implementation of Diagnosis and Fault Detection for PV panel Based on Fuzzy Logic Classification

Abstract

Detecting faults on PV systems is an essential and important part of monitoring and controlling electrical systems. Providing high-quality power supply requires an efficient diagnostic system capable of handling failures in photovoltaic systems. This paper proposes an experimental diagnosis for Photovoltaic Panel using the DS1104 platform in order to implement the diagnosis model developed in Matlab/Simulink® software. The Diagnosis technique has been achieved using an experimental database of climatic and electrical parameters from a PV panel installed at LGEB Laboratory of University of Biskra, (Algeria). The obtained results show a fast classification and give an accurate fault location using the Fuzzy Logic Classifier (FLC) (the investigated faults are: Different cases of shading effect and short-circuit of the By-pass diode).