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Approximate Single-Diode Photovoltaic Model for Efficient I-V Characteristics Estimation

Precise photovoltaic (PV) behavior models are normally described by nonlinear analytical equations. To solve such equations, it is necessary to use iterative procedures. Aiming to make the computation easier, this paper proposes an approximate single-diode PV model that enables high-speed prediction...

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Detalles Bibliográficos
Autores principales: Ma, Jieming, Man, Ka Lok, Ting, T. O., Zhang, Nan, Guan, Sheng-Uei, Wong, Prudence W. H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3835605/
https://www.ncbi.nlm.nih.gov/pubmed/24298205
http://dx.doi.org/10.1155/2013/230471
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author Ma, Jieming
Man, Ka Lok
Ting, T. O.
Zhang, Nan
Guan, Sheng-Uei
Wong, Prudence W. H.
author_facet Ma, Jieming
Man, Ka Lok
Ting, T. O.
Zhang, Nan
Guan, Sheng-Uei
Wong, Prudence W. H.
author_sort Ma, Jieming
collection PubMed
description Precise photovoltaic (PV) behavior models are normally described by nonlinear analytical equations. To solve such equations, it is necessary to use iterative procedures. Aiming to make the computation easier, this paper proposes an approximate single-diode PV model that enables high-speed predictions for the electrical characteristics of commercial PV modules. Based on the experimental data, statistical analysis is conducted to validate the approximate model. Simulation results show that the calculated current-voltage (I-V) characteristics fit the measured data with high accuracy. Furthermore, compared with the existing modeling methods, the proposed model reduces the simulation time by approximately 30% in this work.
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spelling pubmed-38356052013-12-02 Approximate Single-Diode Photovoltaic Model for Efficient I-V Characteristics Estimation Ma, Jieming Man, Ka Lok Ting, T. O. Zhang, Nan Guan, Sheng-Uei Wong, Prudence W. H. ScientificWorldJournal Research Article Precise photovoltaic (PV) behavior models are normally described by nonlinear analytical equations. To solve such equations, it is necessary to use iterative procedures. Aiming to make the computation easier, this paper proposes an approximate single-diode PV model that enables high-speed predictions for the electrical characteristics of commercial PV modules. Based on the experimental data, statistical analysis is conducted to validate the approximate model. Simulation results show that the calculated current-voltage (I-V) characteristics fit the measured data with high accuracy. Furthermore, compared with the existing modeling methods, the proposed model reduces the simulation time by approximately 30% in this work. Hindawi Publishing Corporation 2013-11-05 /pmc/articles/PMC3835605/ /pubmed/24298205 http://dx.doi.org/10.1155/2013/230471 Text en Copyright © 2013 Jieming Ma et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Ma, Jieming
Man, Ka Lok
Ting, T. O.
Zhang, Nan
Guan, Sheng-Uei
Wong, Prudence W. H.
Approximate Single-Diode Photovoltaic Model for Efficient I-V Characteristics Estimation
title Approximate Single-Diode Photovoltaic Model for Efficient I-V Characteristics Estimation
title_full Approximate Single-Diode Photovoltaic Model for Efficient I-V Characteristics Estimation
title_fullStr Approximate Single-Diode Photovoltaic Model for Efficient I-V Characteristics Estimation
title_full_unstemmed Approximate Single-Diode Photovoltaic Model for Efficient I-V Characteristics Estimation
title_short Approximate Single-Diode Photovoltaic Model for Efficient I-V Characteristics Estimation
title_sort approximate single-diode photovoltaic model for efficient i-v characteristics estimation
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3835605/
https://www.ncbi.nlm.nih.gov/pubmed/24298205
http://dx.doi.org/10.1155/2013/230471
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