Comparative evaluation of new FLC controller based MPPT for a DC to DC buck-boost zeta converter

摘要

A new intelligent technique of tracing the peak power point of a standalone photovoltaic (PV) module using Fuzzy Logic Control (FLC) is presented in this paper which exploits the effects of the characteristic of PV module. Partial shaded and change in weather conditions produces numerous local maximum peak points (MPP), which makes the tracing of the multiple global peak power a challenging task. Furthermost of traditional tracing technique fail to operate correctly under these non-uniform irradiance situations. The real traditional FLC search based maximum power point tracking (MPPT) flops to trace the peak power under partial shaded situations. This paper advances the technique by considering the wide range of search and power ripple so that the designed FLC technique traces maximum power for all the situations. It is tested for dissimilar weather condition through Matlab simulation and verified laboratory experimentally. In this paper, the merits of using a novel FLC is also offered. Three inputs and single output fuzzy rules are developed. From the Matlab simulation outcomes, it is observed that the FLC controlling technique decreases error and it provides rapid reaction to environmentally friendly variations. The competence of the designed technique has closely coordinated with the true maximum power point (MPP) and the successful laboratory experimental results attained with a 100 Watt photovoltaic module specify that the method can be favourably realized for photovoltaic standalone system.