An improved free search differential evolution algorithm: A case study on parameters identification of one diode equivalent circuit of a solar cell module

被引：59

作者：

Hultmann Ayala, Helon Vicente ^{[1
]}

Coelho, Leandro dos Santos ^{[1
,2
]}

Mariani, Viviana Cocco ^{[2
,3
]}

Askarzadeh, Alireza ^{[4
]}

机构：

[1] Pontif Catholic Univ Parana PUCPR, Ind & Syst Engn Grad Program PPGEPS, BR-80215901 Curitiba, Parana, Brazil

[2] Fed Univ Parana UFPR, Dept Elect Engn, BR-81531980 Curitiba, Parana, Brazil

[3] Pontif Catholic Univ Parana PUCPR, Mech Engn Grad Program PPGEM, BR-80215901 Curitiba, Parana, Brazil

[4] Grad Univ Adv Technol, Inst Sci & High Technol & Environm Sci, Dept Energy Management & Optimizat, Kerman, Iran

来源：

ENERGY | 2015年 / 93卷

关键词：

Differential evolution algorithm; Mathematical modeling; Parameter identification; Solar cells; OPTIMIZATION ALGORITHM; EXTRACTION; MODEL; NETWORKS; DESIGN;

D O I：

10.1016/j.energy.2015.08.019

中图分类号：

O414.1 [热力学];

学科分类号：

摘要：

The present paper deals with the parameter identification of one diode model equivalent circuit of solar cell modules from real data acquired in different temperature conditions. We termed this procedure as an optimization problem and solved it through the FSDE (Free Search Differential Evolution) algorithm as well as a novel IFSDE (Improved FSDE) approach. The IFSDE is compared with other well-known metaheuristics, namely genetic algorithms, harmony search and particle swarm optimization, showing overall better results for the proposed IFSDE approach. In particular, the IFSDE is better in escaping local optima and obtained better results. Identified results are compared with acquired data, what shows the validity of the proposed algorithm. (C) 2015 Elsevier Ltd. All rights reserved.

引用

页码：1515 / 1522

页数：8

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