Comparing Maximum Power Point Tracking Techniques for Solar Photovoltaic Systems

As the demand for energy rises, photovoltaic (PV) system usage is increasing globally. Since PV systems are not linear, special methods are employed to generate the most amount of power. The energy generated by PV panels when sunlight is directly absorbed is not constant because of fluctuations in solar intensity. Artificial intelligence (AI) is one of the most powerful tools to track points with the most power. For the solar panels to provide the most electricity feasible, maximum power point tracking (MPPT) is employed. We have compared the performances of MPPT approaches control systems made up of a PV solar system in this research in order to decrease the energy loss supplied by the PV module and to boost energy efficiency. The MPPT, which is based on the Perturb and Observe algorithm (P&O), Fuzzy Logic algorithm (FL), and NARMA-L2 Controller algorithm, is used to create this control in the MATLAB/Simulink environment. To determine the most effective method., these three algorithms have been examined and their functional analysis performed.