Parameter Optimization of Single-Diode Model of Photovoltaic Cell Using Memetic Algorithm

This study proposes a memetic approach for optimally determining the parameter values of single-diode-equivalent solar cell model. The memetic algorithm, which combines metaheuristic and gradient-based techniques, has the merit of good performance in both global and local searches. First, 10 single...

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Main Authors: Yourim Yoon, Zong Woo Geem
Format: Article
Language:English
Published: Wiley 2015-01-01
Series:International Journal of Photoenergy
Online Access:http://dx.doi.org/10.1155/2015/963562
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author Yourim Yoon
Zong Woo Geem
author_facet Yourim Yoon
Zong Woo Geem
author_sort Yourim Yoon
collection DOAJ
description This study proposes a memetic approach for optimally determining the parameter values of single-diode-equivalent solar cell model. The memetic algorithm, which combines metaheuristic and gradient-based techniques, has the merit of good performance in both global and local searches. First, 10 single algorithms were considered including genetic algorithm, simulated annealing, particle swarm optimization, harmony search, differential evolution, cuckoo search, least squares method, and pattern search; then their final solutions were used as initial vectors for generalized reduced gradient technique. From this memetic approach, we could further improve the accuracy of the estimated solar cell parameters when compared with single algorithm approaches.
format Article
id doaj-art-f3b82d4ef95b44e2aa7d6c6e6a843ff8
institution Kabale University
issn 1110-662X
1687-529X
language English
publishDate 2015-01-01
publisher Wiley
record_format Article
series International Journal of Photoenergy
spelling doaj-art-f3b82d4ef95b44e2aa7d6c6e6a843ff82025-02-03T05:53:37ZengWileyInternational Journal of Photoenergy1110-662X1687-529X2015-01-01201510.1155/2015/963562963562Parameter Optimization of Single-Diode Model of Photovoltaic Cell Using Memetic AlgorithmYourim Yoon0Zong Woo Geem1Department of Computer Engineering, Gachon University, 1342 Seongnam Daero, Seongnam 461-701, Republic of KoreaDepartment of Energy IT, Gachon University, 1342 Seongnam Daero, Seongnam 461-701, Republic of KoreaThis study proposes a memetic approach for optimally determining the parameter values of single-diode-equivalent solar cell model. The memetic algorithm, which combines metaheuristic and gradient-based techniques, has the merit of good performance in both global and local searches. First, 10 single algorithms were considered including genetic algorithm, simulated annealing, particle swarm optimization, harmony search, differential evolution, cuckoo search, least squares method, and pattern search; then their final solutions were used as initial vectors for generalized reduced gradient technique. From this memetic approach, we could further improve the accuracy of the estimated solar cell parameters when compared with single algorithm approaches.http://dx.doi.org/10.1155/2015/963562
spellingShingle Yourim Yoon
Zong Woo Geem
Parameter Optimization of Single-Diode Model of Photovoltaic Cell Using Memetic Algorithm
International Journal of Photoenergy
title Parameter Optimization of Single-Diode Model of Photovoltaic Cell Using Memetic Algorithm
title_full Parameter Optimization of Single-Diode Model of Photovoltaic Cell Using Memetic Algorithm
title_fullStr Parameter Optimization of Single-Diode Model of Photovoltaic Cell Using Memetic Algorithm
title_full_unstemmed Parameter Optimization of Single-Diode Model of Photovoltaic Cell Using Memetic Algorithm
title_short Parameter Optimization of Single-Diode Model of Photovoltaic Cell Using Memetic Algorithm
title_sort parameter optimization of single diode model of photovoltaic cell using memetic algorithm
url http://dx.doi.org/10.1155/2015/963562
work_keys_str_mv AT yourimyoon parameteroptimizationofsinglediodemodelofphotovoltaiccellusingmemeticalgorithm
AT zongwoogeem parameteroptimizationofsinglediodemodelofphotovoltaiccellusingmemeticalgorithm