MPPT Integrate with Fuzzy Logic Control Compared with Conventional Techniques

Photovoltaic (PV), which functions on the concept of the photoelectric effect, is considered one of the environmentally beneficial Renewable Energy Sources (RES) that has a large deal of capacity and converts solar energy directly into electricity. Continually changing physical properties of PV systems are dependent on their surroundings. Therefore, it is crucial to regularly track the Maximum Power Point (MPP) in order to get the most power possible from PV. This paper discusses one artificial intelligence control tool, the fuzzy logic controller (FLC), as well as traditional hill climbing methods like perturb and observe (P&O) and incremental conductance (IC) for MPP tracking. Fuzzy controller application results in superior performance versus traditional methods. In comparison to other methods, the MPP stability produced by a fuzzy controller is higher. The amount of energy extracted from PV panels is also contrasted with other methods.