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A new three-point-based approach for the parameter extraction of photovoltaic cells

This paper proposes a novel three-point based parameter extraction method for the single diode model. Unlike conventional curve-fitting procedures, the solution is simplistic yet exhibits outstanding ability to locate highly accurate solutions within very low number of iterations. The main idea is t...

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Main Authors: Chin, Vun Jack, Salam, Zainal
Format: Article
Published: Elsevier Ltd. 2019
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://eprints.utm.my/id/eprint/89099/
http://dx.doi.org/10.1016/j.apenergy.2019.01.009
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spelling my.utm.890992021-01-26T08:44:33Z http://eprints.utm.my/id/eprint/89099/ A new three-point-based approach for the parameter extraction of photovoltaic cells Chin, Vun Jack Salam, Zainal TK Electrical engineering. Electronics Nuclear engineering This paper proposes a novel three-point based parameter extraction method for the single diode model. Unlike conventional curve-fitting procedures, the solution is simplistic yet exhibits outstanding ability to locate highly accurate solutions within very low number of iterations. The main idea is to establish three geometrically critical data points as the pivot points. By forcing the model to pass though these points exactly, the evolutionary algorithm (in this case differential evolution) is only utilized to fine-tune the remaining sections of the curve for best fit. As a result, the complexity of the algorithm is greatly reduced. A set of comparisons based on four case studies indicates that the proposed method substantially more accurate than other documented methods. Additionally, other tests with different types of photovoltaic modules (i.e. monocrystalline, polycrystalline, and thin film) at varying environmental conditions prove that the algorithm is reliable and practical for real-world applications. Besides, the scheme is highly efficient—it converges to the optimal solution in less than 50 iterations. Moreover, the solutions obtained are exceptionally consistent, i.e. the standard deviation of the root-mean-square error over 35 runs is at least 4 orders of magnitude less than those reported in other works. With these merits, the proposed method is envisaged to be valuable for both offline analysis and online monitoring applications where an accurate, fast and consistent parameter extraction tool is required. Elsevier Ltd. 2019-03-01 Article PeerReviewed Chin, Vun Jack and Salam, Zainal (2019) A new three-point-based approach for the parameter extraction of photovoltaic cells. Applied Energy, 237 . pp. 519-533. ISSN 0306-2619 http://dx.doi.org/10.1016/j.apenergy.2019.01.009 DOI:10.1016/j.apenergy.2019.01.009
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Chin, Vun Jack
Salam, Zainal
A new three-point-based approach for the parameter extraction of photovoltaic cells
description This paper proposes a novel three-point based parameter extraction method for the single diode model. Unlike conventional curve-fitting procedures, the solution is simplistic yet exhibits outstanding ability to locate highly accurate solutions within very low number of iterations. The main idea is to establish three geometrically critical data points as the pivot points. By forcing the model to pass though these points exactly, the evolutionary algorithm (in this case differential evolution) is only utilized to fine-tune the remaining sections of the curve for best fit. As a result, the complexity of the algorithm is greatly reduced. A set of comparisons based on four case studies indicates that the proposed method substantially more accurate than other documented methods. Additionally, other tests with different types of photovoltaic modules (i.e. monocrystalline, polycrystalline, and thin film) at varying environmental conditions prove that the algorithm is reliable and practical for real-world applications. Besides, the scheme is highly efficient—it converges to the optimal solution in less than 50 iterations. Moreover, the solutions obtained are exceptionally consistent, i.e. the standard deviation of the root-mean-square error over 35 runs is at least 4 orders of magnitude less than those reported in other works. With these merits, the proposed method is envisaged to be valuable for both offline analysis and online monitoring applications where an accurate, fast and consistent parameter extraction tool is required.
format Article
author Chin, Vun Jack
Salam, Zainal
author_facet Chin, Vun Jack
Salam, Zainal
author_sort Chin, Vun Jack
title A new three-point-based approach for the parameter extraction of photovoltaic cells
title_short A new three-point-based approach for the parameter extraction of photovoltaic cells
title_full A new three-point-based approach for the parameter extraction of photovoltaic cells
title_fullStr A new three-point-based approach for the parameter extraction of photovoltaic cells
title_full_unstemmed A new three-point-based approach for the parameter extraction of photovoltaic cells
title_sort new three-point-based approach for the parameter extraction of photovoltaic cells
publisher Elsevier Ltd.
publishDate 2019
url http://eprints.utm.my/id/eprint/89099/
http://dx.doi.org/10.1016/j.apenergy.2019.01.009
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score 13.211869

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