Maximum Power Point Tracking of Solar PV System Using Novel Hybrid Algorithm

Solar energy is an important source of power, especially as energy demands grow and environmental concerns increase. However, extracting maximum power from photovoltaic (PV) systems is difficult because of the fluctuations in irradiance and temperature, which prevent them from achieving optimal energy output. The present study introduced a new way to track Maximum Power Point (MPPT) in solar systems, which is inspired on the unique behaviors by the Addax Antelope, known for its effective movement patterns. Our aim is to compare these different methods and to find out the most effective way to maximize the power extraction from the PV panels. Regulation of power and stability is achieved by using a Boost Converter and a Solar Charge Controller. Simulation results in MATLAB Simulink reveal that the AOA-based MPPT system has a faster convergence rate, less oscillation and higher tracking accuracy than the conventional methods. Among all the approaches tested, the Hybrid P&O with AOA method promises the best performance with the highest power output delivered under the various conditions of the environment. The conclusions highlight the potential of AOA-based MPPT systems for maximizing extracted energy, minimizing power losses, and increasing in efficiency and reliability of PV systems that can make for a promising means of sustainable energy generation.