An improved maximum power point tracking algorithm using fuzzy logic controller for photovoltaic applications.

摘要

This thesis proposes an advanced maximum power point tracking (MPPT) algorithm using Fuzzy Logic Controller (FLC) in order to extract potential maximum power from photovoltaic cells. The objectives of the FLC are to increase tracking velocity and to simultaneously solve inherent drawbacks in conventional MPPT algorithms. The performances of the conventional Perturb & Observe (P&O) algorithm and the proposed algorithm are compared by using MATLAB/Simulink, and the theoretical advantages of FLC were demonstrated. To further validate the practical performance of the proposed algorithm, the two algorithms were experimentally applied to a DSP-Controlled boost DC-DC converter. The experimental results indicated that the proposed algorithm performed with faster tracking time, smaller output power oscillation, and higher efficiency, compared to that of the conventional P&O algorithm.