Approximate Single-Diode Photovoltaic Model for Efficient I-V Characteristics Estimation
Joint Authors
Ma, Jieming
Guan, Sheng-Uei
Wong, Prudence W. H.
Man, Ka Lok
Ting, T. O.
Zhang, Nan
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-11-05
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
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.
American Psychological Association (APA)
Ma, Jieming& Man, Ka Lok& Ting, T. O.& Zhang, Nan& Guan, Sheng-Uei& Wong, Prudence W. H.. 2013. Approximate Single-Diode Photovoltaic Model for Efficient I-V Characteristics Estimation. The Scientific World Journal،Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-1032678
Modern Language Association (MLA)
Ma, Jieming…[et al.]. Approximate Single-Diode Photovoltaic Model for Efficient I-V Characteristics Estimation. The Scientific World Journal No. 2013 (2013), pp.1-7.
https://search.emarefa.net/detail/BIM-1032678
American Medical Association (AMA)
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. The Scientific World Journal. 2013. Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-1032678
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1032678