부산대학교 도서관

In light of the ongoing energy crisis, there is a growing need for a substantial supply of renewable energy. Solar energy offers a viable solution for increasing the utilization of green energy sources in residential and commercial sectors. To facilitate impedance matching, various types of DC-DC converters are employed to connect PV arrays and loads. Photovoltaic systems commonly employ maximum power point tracking (MPPT) techniques to optimize the power output of the PV generator and overcome the limitations associated with PV arrays operating under varying irradiance levels. Because of its low cost, simple implementation, and effective tracking, the Perturb and Observe (P & O) approach is the utmost often used. In contrast, when meteorological conditions change quickly, the P & Oapproach is unable to follow the MPP. This is overcome by comparing P & O and FUZZY logic MPPT algorithm to determine which efficiently creates the MPPT. The features of boost converters are analysed to determine the best architecture for the PV system being employed. In order to acquire the necessary expert knowledge for developing a logic controller, a simulation is executed in MATLAB. The results of the simulation study indicate that the system performance can be effectively enhanced by employing the fuzzy logic technique.