MPPT Using Fuzzy Logic Control and Buck Converter for Photovoltaic System.

In this paper, a fuzzy logic control (FLC) is proposed to control the maximum power point tracking (MPPT) for a photovoltaic (PV) system. The proposed technique uses the fuzzy logic control to specify the size of incremental current in the current command of MPPT. As results indicated, the convergence time of maximum power point (MPP) of the proposed algorithm is better than that of the conventional Perturb and Observation (P&O) technique. The simulation results have been used to verify the effectiveness of the algorithm. The proposed method produces good efficiency with low switching loss. The nonlinearity and adaptiveness of fuzzy controller provided good performance under parameter variations such as solar irradiation. Tracking of the maximum power point (MPPT) plays an important role in photovoltaic(PV) power systems because they maximize the power output from a PV system for a given set of conditions, and therefore maximize they module efficiency. This work presents a fuzzy logic controller based MPPT algorithms using design of dc to dc new buck converter for photovoltaic applications. The introduction of fuzzy controller solution has given very good performance and whatever the parametric variation of the system.