Optimization of Power Transfer in a Standalone PV System using Fuzzy Logic and Extremum Seeking Controllers: A Comparative Study

Abstract

In recent years, solar power has emerged as a promising energy source. In solar photovoltaic systems (SPSs), efficient Maximum Power Point Tracking (MPPT) is a challenge to optimize PV power transfer to the load. Due to the effects of fluctuating environmental conditions on maximum power point tracking, an effective MPPT technique is preferable for optimal MPPT tracking under variable environmental conditions. In this study, a comparative study between two techniques such as: Fuzzy logic controller (FLC) and Extremum seeking controller (ESC) are employed to determine the maximum power output of solar photovoltaic systems under various environmental conditions. Additionally, a boost converter is used to connect the PV array to a load, optimizing the electrical parameters of the converter to minimize power losses. The efficiency, the tracking time, and the power of the system were measured in multiple scenarios. The obtained result shows that the fuzzy logic controller methods performs well in terms of efficiency, tracking time and power loss.