MPPT Optimization of PV Systems Using Cuk Converter With P&O Algorithm Under Varying Environmental Conditions

This project conducts a thorough investigation into the enhancement of Photovoltaic (PV) systems by integrating a Cuk converter with a Perturb and Observe (P&O) algorithm for Maximum Power Point Tracking (MPPT) in the presence of changing environmental circumstances. The goal was to measure how well the system performs under different levels of irradiance. This project involved conducting a thorough assessment of the accuracy, efficiency, and flexibility of the MPPT system. The MPPT system repeatedly exhibited accurate tracking of the maximum power point (MPP), with accuracy ranging from 98.8% to 99.9% under varying levels of irradiance. The system demonstrated its capability to transform input power into usable output power with efficiency levels ranging from 94.7% to 96.7%. The duty cycle profiles consistently demonstrated the converter's adaptable operational behavior. Furthermore, the system demonstrated a direct correlation between changes in irradiance and corresponding increases in both input and output powers, particularly at higher levels of irradiance. The results highlighted the system's flexibility and capacity for practical application in optimizing solar energy generation.