Parameter Optimization of Single-Diode Model of Photovoltaic Cell Using Memetic Algorithm
Joint Authors
Source
International Journal of Photoenergy
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-11-26
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Yoon, Yourim& Geem, Zong Woo. 2015. Parameter Optimization of Single-Diode Model of Photovoltaic Cell Using Memetic Algorithm. International Journal of Photoenergy،Vol. 2015, no. 2015, pp.1-7.
https://search.emarefa.net/detail/BIM-1066657
Modern Language Association (MLA)
Yoon, Yourim& Geem, Zong Woo. Parameter Optimization of Single-Diode Model of Photovoltaic Cell Using Memetic Algorithm. International Journal of Photoenergy No. 2015 (2015), pp.1-7.
https://search.emarefa.net/detail/BIM-1066657
American Medical Association (AMA)
Yoon, Yourim& Geem, Zong Woo. Parameter Optimization of Single-Diode Model of Photovoltaic Cell Using Memetic Algorithm. International Journal of Photoenergy. 2015. Vol. 2015, no. 2015, pp.1-7.
https://search.emarefa.net/detail/BIM-1066657
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1066657