Maximum Power Point Tracking of Photovoltaic Generation Based on the Type 2 Fuzzy Logic Control Method

Abstract

According to a nonlinear current-voltage characteristic Photovoltaic for exploitation of this optimization we need to track maximum output instantly. The aim of this paper is to search maximum power point (MPP) Based on the Type2 Fuzzy logic controller (T2FLC) which is a novel method in maximum power point tracking (MPPT). Solar cells’ MPP varies with solar insolation and ambient temperature. With the improved efficiencies of power electronics converters, it is now possible to operate photovoltaic (PV) power systems at its MPP in order to improve the overall system efficiency. This paper presents a T2FLC method for tracking MPP in photovoltaic power systems and the control system is established simultaneously. The results of simulation show that the T2FLC significantly improves the robustness of controller's PV during the tracking phase as compared to a conventional type1 fuzzy logic control (T1FLC) in present of noise in photovoltaic power systems. This noise maybe insert to system when voltage and current are measured. We show that the results obtained with T2FLC are better than the ones obtained with the T1FLC method.