MPPT controllers for 100 KW photovoltaic station

Abstract

Extracting peak power from solar panels requires reliable tracking systems. Therefore, a photovoltaic system was built using MATLAB/Simulink software and tested under various control strategies. The main objective was to compare the performance of a fuzzy logic controller (FLC) with that of a standard perturbation and observation (P&O) algorithm. The test conditions were simplified by applying a gradual increase in solar irradiance and conducting tests at several fixed temperature points. The FLC easily outperformed the P&O method at the peak power point with an efficiency of 99.3%. At the end of the work, a genetic algorithm (GA) was used to automatically fine-tune the FLC. The optimization gains were constrained primarily by the computational limitations of the simulation hardware; executing the GA to achieve higher optimization margins would require significantly more processing time and higher-performance workstations to prevent system saturation