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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Series: | The Scientific World Journal |
Online Access: | http://dx.doi.org/10.1155/2013/230471 |
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doaj-a88f3e38229b489bb983ef8803fbb3ab2020-11-25T02:19:03ZengHindawi LimitedThe Scientific World Journal1537-744X2013-01-01201310.1155/2013/230471230471Approximate Single-Diode Photovoltaic Model for Efficient I-V Characteristics EstimationJieming Ma0Ka Lok Man1T. O. Ting2Nan Zhang3Sheng-Uei Guan4Prudence W. H. Wong5Department of Computer Science, University of Liverpool, Ashton Building, Ashton Street, Liverpool L69 3BX, UKXi’an Jiaotong-Liverpool University, 111 Ren’ai Road, Jiangsu, Suzhou 215123, ChinaXi’an Jiaotong-Liverpool University, 111 Ren’ai Road, Jiangsu, Suzhou 215123, ChinaXi’an Jiaotong-Liverpool University, 111 Ren’ai Road, Jiangsu, Suzhou 215123, ChinaXi’an Jiaotong-Liverpool University, 111 Ren’ai Road, Jiangsu, Suzhou 215123, ChinaDepartment of Computer Science, University of Liverpool, Ashton Building, Ashton Street, Liverpool L69 3BX, UKPrecise 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.http://dx.doi.org/10.1155/2013/230471 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Jieming Ma Ka Lok Man T. O. Ting Nan Zhang Sheng-Uei Guan Prudence W. H. Wong |
spellingShingle |
Jieming Ma Ka Lok Man T. O. Ting Nan Zhang Sheng-Uei Guan Prudence W. H. Wong Approximate Single-Diode Photovoltaic Model for Efficient I-V Characteristics Estimation The Scientific World Journal |
author_facet |
Jieming Ma Ka Lok Man T. O. Ting Nan Zhang Sheng-Uei Guan Prudence W. H. Wong |
author_sort |
Jieming Ma |
title |
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_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_sort |
approximate single-diode photovoltaic model for efficient i-v characteristics estimation |
publisher |
Hindawi Limited |
series |
The Scientific World Journal |
issn |
1537-744X |
publishDate |
2013-01-01 |
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. |
url |
http://dx.doi.org/10.1155/2013/230471 |
work_keys_str_mv |
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1724878895905243136 |