Comparative analysis for various control strategies based MPPT technique of photovoltaic system using DC-DC boost converter

The present research investigates a comparative analysis for various strategies based on Maximum Power Point Tracking (MPPT) technique dedicated for PV systems. The different strategies adjust the duty cycle so as to provide maximum power to the load via a DC-DC boost converter. The two first methods refer to the traditional approach where as the Perturb and Observe (P&O) and the Incremental Conductance (INC) methods. The third and fourth one, based on the artificial intelligence approach, are respectively Fuzzy Logic (FL) and Radial Basis Function Neural Network (RBFNN). The suggested MPPT strategies are tested and validated by using Matlab/Simulink simulation for varying weather conditions. Some concluded remarks are given allowing a best choice of the adequate strategy for a given application, referring to the desired performances and taking into account the required real-time implementation cost.