Estimation of Photovoltaic System Parameters via Metaheuristic Algorithms

Abstract

This work aims to estimate and identify the parameters of photovoltaic cells using WOA, GWO, BWOA, and MPA algorithms based on the single diode model and the double diode model. The different electrical parameters of the equivalent model of a photovoltaic cell affect directly the characteristics I-V and P-V of the PV modules. A study tested algorithms on RTC France Silicon Solar Cells, revealing the MPA algorithm as highly competitive and efficient in parameter estimation, with a better root mean square error for most measurement values. That method attains a better conventional method for parameter estimation in terms of convergence and accuracy, which provide global optimal solutions.