Parameter extraction of photovoltaic module model by using Levenberg-Marquardt algorithm based on simulated annealing method

Abstract

Reliable and accurate parameter identification of solar modules model is necessary to evaluate the performances and to control the behavior of photovoltaic systems. In this work, Levenberg-Marquardt combined with simulated annealing algorithm is proposed to extract the five parameters from the experimental data points ( $$I_\text {{PV}}$$ - $$V_\text {{PV}}$$ ) of Photowatt-PWP 201 polycrystalline module. The quality evaluation of the obtained outcomes is ensured by the analysis of the objective function accuracy. Therefore, the proposed method provides the highest precision compared to the results of the most recent methods reported in the literature. Moreover, a study of the convergence process has been established in the aim to observe the adjustment way of the five parameters and to assess the influence of the damping factor on the objective function optimization. The superiority of the proposed method in terms of accuracy have been tested and proven by using the $$I_\text {{PV}}$$ ( $$V_\text {{PV}}$$ ) measurements of SM55 mono-crystalline photovoltaic module.