Application Of Fuzzy Logic Controller For Maximum Power Tracking Of Pv Power System Under Partial Shade Condition

Abstract

In this thesis work, the fuzzy logic controller is used to track the maximum power of a photovoltaic system when it is partially shaded. One of the most important tasks of the MPPT algorithm is to operate the PV system at or near Maximum Power Point. Many methodologies have been put forth; however, the traditional methods of perturb and observe and incremental conductance are the most popular due to their simplicity. However, some of the disadvantages include failure to monitor the global peak in conditions of partial shadow, steady-state oscillation, and incorrect perturbation direction for rapid climatic change. In this work, the performance of the fuzzy logic control strategy is compared with the classical technique. From the simulation results, it can be concluded that the fuzzy logic controller is outperformed with reduced steady-state error, quick dynamic performance, and precise tracking of the GMPP.