Abstract
The Perturb & Observe for MPPT algorithm is frequently utilized in solar systems. A faces significant challenges in accurately tracking peak power under changing temperature and irradiance objectives. An essay suggests a fresh idea for hybrid MPPT based on an algorithm that combines the advantages of Artificial Rabbit Optimization (ARO) as well as P&O algorithms. A proposed algorithm overcomes the limitations of traditional P&O algorithms by capturing multiple peak power points, enabling it to adapt to rapidly changing conditions. Comparative analysis with the standard P&O technique demonstrates the suggested algorithm’s advantage in terms of accuracy, efficiency, as well as reduced near-steady-state oscillations. In suggested model achieves an MPPT efficiency of approximately 96% and an overall system efficiency of around 99%. Furthermore, it exhibits a settling time of 0.1 s and a rise time of approximately 0.05 s. These impressive performance metrics highlight the potential of the hybrid ARO and considerably improve the P&O MPPT-based algorithm performance for PV systems by varying the conditions of environments.
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