LAPSE:2018.0659
Published Article
LAPSE:2018.0659
Variable Parameters for a Single Exponential Model of Photovoltaic Modules in Crystalline-Silicon
Ali F. Murtaza, Umer Munir, Marcello Chiaberge, Paolo Di Leo, Filippo Spertino
September 21, 2018
The correct approximation of parallel resistance (Rp) and series resistance (Rs) poses a major challenge for the single diode model of the photovoltaic module (PV). The bottleneck behind the limited accuracy of the model is the static estimation of resistive parameters. This means that Rp and Rs, once estimated, usually remain constant for the entire operating range of the same weather condition, as well as for other conditions. Another contributing factor is the availability of only standard test condition (STC) data in the manufacturer’s datasheet. This paper proposes a single-diode model with dynamic relations of Rp and Rs. The relations not only vary the resistive parameters for constant/distinct weather conditions but also provide a non-iterative solution. Initially, appropriate software is used to extract the data of current-voltage (I-V) curves from the manufacturer’s datasheet. By using these raw data and simple statistical concepts, the relations for Rp and Rs are designed. Finally, it is proved through root mean square error (RMSE) analysis that the proposed model holds a one-tenth advantage over numerous recently proposed models. Simultaneously, it is low complex, iteration-free (0 to voltage in maximum power point Vmpp range), and requires less computation time to trace the I-V curve.
Keywords
I-V curve tracer, maximum power point (MPP), modeling of photovoltaic (PV) module, PV simulator, Rp and Rs estimations
Suggested Citation
Murtaza AF, Munir U, Chiaberge M, Di Leo P, Spertino F. Variable Parameters for a Single Exponential Model of Photovoltaic Modules in Crystalline-Silicon. (2018). LAPSE:2018.0659
Author Affiliations
Murtaza AF: Faculty of Engineering, University of Central Punjab, Lahore 54590, Pakistan
Munir U: Faculty of Engineering, University of Central Punjab, Lahore 54590, Pakistan
Chiaberge M: Department of Electronics and Telecommunication, Politecnico di Torino, 10129 Torino, Italy
Di Leo P: Department of Energy, Politecnico di Torino, 10129 Torino, Italy
Spertino F: Department of Energy, Politecnico di Torino, 10129 Torino, Italy [ORCID]
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Journal Name
Energies
Volume
11
Issue
8
Article Number
E2138
Year
2018
Publication Date
2018-08-16
Published Version
ISSN
1996-1073
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Original Submission
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PII: en11082138, Publication Type: Journal Article
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LAPSE:2018.0659
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doi:10.3390/en11082138
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Sep 21, 2018
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Sep 21, 2018
 
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Calvin Tsay
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