Evaluation of Cuckoo Search MPPT Algorithm for Solar Photovoltaic Inverter Applications

As the demand for renewable energy sources continues to grow, optimizing the efficiency of solar photovoltaic (PV) systems becomes increasingly important. This study illustrates a solar PV system that determines maximum power point tracking (MPPT) in solar inverter applications adopting a Cuckoo Search Algorithm (CSA). The CSA provides a distinctive approach for determining the maximum power under various scenarios and is modeled after the brood parasitism of some cuckoo species. This study examines the algorithm’s performance in real-time tracking of maximum power output, analyzing its responsiveness to change in irradiance and temperature. Simulation results using MATLAB demonstrate that the CSA achieves greater efficiency and faster convergence compared to traditional MPPT methods.