Improved parameter estimation of triple-diode photovoltaic systems
摘要
Accurately modeling solar photovoltaic (PV) systems requires extracting a set of unknown parameters, it is a complex, nonlinear optimization problem involving multiple variables. This study introduces six targeted modifications to the improved whale optimization algorithm (IWOA), designed to enhance its efficiency and reliability. By incorporating a blend of algebraic and transcendental functions, these modifications improve the algorithm’s ability to balance exploration and exploitation. Performance was evaluated through ten benchmark functions, with results analyzed statistically. The enhanced algorithm was then applied to estimate nine unknown parameters in the three-diode PV model, known for its high accuracy in simulating real PV behavior. Validation against real-world data from commercial PV modules, such as the KC200GT and MSX-60, demonstrated that the modified IWOA can generate highly precise models. The results confirm the algorithm’s potential as a practical and robust tool for PV system modeling.