Title :
Identification of Solar Cell Parameters with Firefly Algorithm
Author :
Mohamed Louzazni; Cr?ciunescu;El Hassan Aroudam;Alexandru Dumitrache
Author_Institution :
Fac. of Sci., Abdelmalek Essaadi Univ., Tetouan, Morocco
Abstract :
Due to the non-linearity, multivariable and multimodal features of current-voltage of solar cell models, the conventional methods are incapable to estimating the parameters of solar cell with high accuracy. Recently, the bio-inspired algorithms have attracted the attention. The firefly algorithm is nature-inspired stochastic optimization algorithm is among the most powerful algorithms in solving modern global optimization for nonlinear and complex system, based on the flashing patterns and behavior of fireflies swarm. In this paper, a firefly algorithm is proposed to extract the parameters of single diode model solar cell from experimental I-V characteristics. The results obtained by firefly algorithm are quite promising and outperform those found by the other methods.
Keywords :
"Optimization","Photovoltaic cells","Mathematical model","Algorithm design and analysis","Parameter estimation","Linear programming","Complex systems"
Conference_Titel :
Mathematics and Computers in Sciences and in Industry (MCSI), 2015 Second International Conference on
DOI :
10.1109/MCSI.2015.37