Study of FLC based MPPT in comparison with P&O and InC for PV systems

Maximum Power Point Tracking (MPPT) represents an important part in photovoltaic (PV) systems. This paper presents a comparative simulation study of three MPPT algorithms: Perturb & Observe (P&O), Incremental Conductance (InC), and intelligent Fuzzy Logic (FL) based MPPT controller under constant and variable atmospheric conditions. The simulation results show that the FL based MPPT can track the MPP with better results as compared to the conventional (P&O) and (InC) algorithms in terms of accuracy, transient (speed) and steady (stability) responses by continuously adjusting the DC-DC duty cycle as a control parameter. A Matlab simulink toolbox and M-file have been used for the simulation and performance evaluation of the above-mentioned MPPT algorithms applied for the 150W BP SX150S solar PV module.