Enhanced Parameter Extraction of Photovoltaic Models Through the Hybridization of Ant Lion Optimizer and Cuckoo Search (ALOCS)

The identification of photovoltaic (PV) model unknown parameters using measured characteristic curves is of great importance for designers involved in modelling, simulation, and control of PV systems. This paper introduces an enhanced heuristic algorithm, namely ALO-CS (Ant Lion Optimizer-Cuckoo Search), which combines the strengths of both ALO and CS optimization algorithms. The primary objective is to accurately extract the parameters of various commercial PV modules. To the best of our knowledge, this novel approach has not been previously explored in the literature, making it a unique contribution. In order to evaluate its effectiveness, a comparative analysis is conducted against several state-of-the-art methods. The experimental and analytical results demonstrate that the proposed Hybrid ALO-CS algorithm outperforms improved JAYA and other methods in terms of accuracy and quality, establishing its competitive advantage.