The hard nonlinearity of the electrical behavior, current-voltage output of a photovoltaic array considered a big issue in the designing of maximum power point tracking (MPPT) algorithms, furthermore changing with atmospheric condition temperature and irradiation. So it’s more challenging to control both the time response and the accuracy. The most commonly algorithms discussed and used in practice are incremental conductance (INC) and perturb and observe (P&O), nevertheless failed to overcome the drawback of the trade-off between the elimination of oscillation around MPP in the steady state and quickness tracking, chiefly when sudden sharp environmental change occurs. Thus, this study suggests a revised incremental conductance combined with fuzzy logic controller (FLC), to enhance the efficiency of the conversion system and perfom it for practical operating conditions. The INC uses the step size generated from FLC. The performance of the dynamic response and the accuracy have optimized significantly compared with conventional methods (P&O, INC). Computer simulation has carried out under MATALB/Simulink environment to demonstrate the performance of the proposed method.

Keywords: Photovoltaic energy, Maximum power point tracking (MPPT), Incremental conductance (INC), Improved INC, Fuzzy logic controller (FLC)