Diagnosis of Fault Inverter in Photovoltaic System Connected to Grid Based on Fuzzy Logic Approach

This paper presents a new procedure for detection and localization fault in photovoltaic system connected to grid. Aiming at the open-circuit fault (OCF) detection in the multi-level inverter, using easy method for diagnosis fault based on the average absolute value of currents (AAVC) noted (Sn), and the three diagnostic variables (En) are obtained from the errors of the normalized currents average absolute values, those variables used as input to fuzzy inference system (FIS). This method can address the reliability problem of multi-level inverters in conversion systems of renewable energy and can dramatically reduce the number of required sensors. The global model is built using MATLAB/Simulink. Simulation results are presented showing the diagnosis approach performance under distinct operating conditions.