Identification of Solar Cell Parameters with Firefly Algorithm

被引：17

作者：

Louzazni, Mohamed ^{[1
]}

Craciunescu, Aurelian ^{[2
]}

Aroudam, El Hassan ^{[1
]}

Dumitrache, Alexandru ^{[3
]}

机构：

[1] Abdelmalek Essaadi Univ, Fac Sci, Team Modeling & Simulat Mech Syst, Tetouan, Morocco

[2] Univ Politehn Bucuresti, Fac Elect Engn, Bucharest, Romania

[3] Romanian Acad, Gheorghe Mihoc Caius Iacob Inst Math Stat & Appl, Bucharest, Romania

来源：

2015 Second International Conference on Mathematics and Computers in Sciences and in Industry (MCSI) | 2015年

关键词：

Solar Cell; Conventional Methods; Bio-inspired Algorithms; Complex System; Firefly Algorithm; OPTIMIZATION ALGORITHM; EXTRACTION; MODELS;

D O I：

10.1109/MCSI.2015.37

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

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.

引用

页码：7 / 12

页数：6

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