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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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  1/2019 - 4

Methods for Estimating One-Diode Model Parameters of Photovoltaic Panels and Adjusting to Non-Nominal Conditions

VIEIRA, F. H. T. See more information about VIEIRA, F. H. T. on SCOPUS See more information about VIEIRA, F. H. T. on IEEExplore See more information about VIEIRA, F. H. T. on Web of Science, CORREA, H. P. See more information about CORREA, H. P. on SCOPUS See more information about CORREA, H. P. on SCOPUS See more information about CORREA, H. P. on Web of Science
 
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Download PDF pdficon (1,461 KB) | Citation | Downloads: 470 | Views: 878

Author keywords
current-voltage characteristics, equivalent circuits, optimization, parameter estimation, photovoltaic cells

References keywords
photovoltaic(13), energy(11), solar(8), single(7), parameters(7), model(7), diode(7), renewable(5), power(4), jrenene(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2019-02-28
Volume 19, Issue 1, Year 2019, On page(s): 27 - 34
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2019.01004
Web of Science Accession Number: 000459986900004
SCOPUS ID: 85064222002

Abstract
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In this work, we propose a novel method for estimating the one-diode equivalent circuit parameters for photovoltaic (PV) panels in order to obtain accurate current-voltage (I-V) characteristic curves. The performance of the proposed method is compared to those of some works in the literature. We considered as the main comparison parameters the following: root mean square error (RMSE), relative error at the maximum power point and computational processing time. The proposed method provides estimations with low processing time and good precision, the latter being a consequence of a procedure for improving the estimation based on the empirical I-V characteristic curve of the PV panel. Subsequently, we present a new method for adjusting the estimated I-V characteristic curve according to variations in ambient conditions. To this end, we develop a simple representation of the parameter adjustment via an equivalent circuit. The proposed adjustment method accuracy is also compared to those of other methods established in the literature, attaining better performance in terms of RMSE and other error indexes.


References | Cited By  «-- Click to see who has cited this paper

[1] R. A. Smets, K. Jager, O. Isabella, M. Zeman and R. van Swaaij, The Physics and Engineering of Photovoltaic Conversion, Technologies and Systems, UIT Cambridge, pp. 145-147, 2016.

[2] D. S. H. Chan and J. C. H. Phang, "Analytical methods for the extraction of solar cell single-diode and double-diode model parameters from I-V characteristics," IEEE Transactions on Electron Devices, vol. 34, n. 2, pp. 286-293, 1987,
[CrossRef] [Web of Science Times Cited 317] [SCOPUS Times Cited 390]


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[CrossRef] [Web of Science Times Cited 160] [SCOPUS Times Cited 189]


[5] S. Bana and R. Saini, "Identification of unknown parameters of a single diode photovoltaic model using particle swarm optimization with binary constraints," Renewable Energy, vol. 101, pp. 1299-1310, 2017,
[CrossRef] [Web of Science Times Cited 34] [SCOPUS Times Cited 36]


[6] A. Senturk, "New method for computing single diode model parameters of photovoltaic models," Renewable Energy, vol. 128, part A, pp. 30-36,
[CrossRef] [Web of Science Times Cited 12] [SCOPUS Times Cited 14]


[7] M. B. Rhouma, A. Gastli, L. B. Brahim, F. Touati and M. Bennamar, "A simple method for extracting the parameters of the PV cell single-diode model," Renewable Energy, vol. 113, pp. 885-894, 2017,
[CrossRef] [Web of Science Times Cited 27] [SCOPUS Times Cited 28]


[8] A. Laudani, F. R. Fulginei, A. Salvini, G. M. Lozito and S. Coco, "Very fast and accurate procedure for the characterization photovoltaic panels from datasheet information," International Journal of Photoenergy, vol. 2014, 2014,
[CrossRef] [Web of Science Times Cited 12] [SCOPUS Times Cited 17]


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[CrossRef] [Web of Science Times Cited 29] [SCOPUS Times Cited 34]


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[CrossRef] [Web of Science Times Cited 105] [SCOPUS Times Cited 173]


[12] V. J. Chin, Z. Salam and K. Ishaque, "Cell modelling and model parameters estimation techniques for photovoltaic simulator application: A review," Applied Energy, vol. 154, pp. 500-519, 2015,
[CrossRef] [Web of Science Times Cited 191] [SCOPUS Times Cited 215]


[13] S. Shongwe and M. Hanif, "Comparative analysis of different single-diode PV modeling methods," IEEE Journal of Photovoltaics, vol. 5, n. 3, pp. 938-946, 2015,
[CrossRef] [Web of Science Times Cited 115] [SCOPUS Times Cited 137]


[14] A. Chatterjee, A. Keyhani and D. Kapoor, "Identification of photovoltaic source models," IEEE Transactions on Energy Conversion, vol. 24, no 3, pp. 883-889, 2011,
[CrossRef] [Web of Science Times Cited 199] [SCOPUS Times Cited 251]


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[16] G. Petronea, G. Spagnuolo and M. Vitellib, "Analytical model of mismatched photovoltaic fields by means of Lambert W-function," Solar Energy Materials and Solar Cells, vol. 91, no 18, pp. 1652-1657, 2007,
[CrossRef] [Web of Science Times Cited 125] [SCOPUS Times Cited 161]


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[CrossRef] [Web of Science Times Cited 978] [SCOPUS Times Cited 1125]


[18] M. Buresch, Photovoltaic energy systems: design and installation, McGraw-Hill, pp. 211-214, 1983.

[19] Kyocera, "KC200GT High Efficiency Multicrystal Photovoltaic Module," Kyocera Corporation Headquarters, Kyoto, LIE/I09M0703-SAGKM datasheet, 2015.

[20] J. Cubas, S. Pindado and M. Victoria, "On the analytical approachfor modeling photovoltaic systems behavior," Journal of Power Sources, vol. 247, pp. 467-474, 2014,
[CrossRef] [Web of Science Times Cited 82] [SCOPUS Times Cited 94]




References Weight

Web of Science® Citations for all references: 4,540 TCR
SCOPUS® Citations for all references: 5,655 TCR

Web of Science® Average Citations per reference: 216 ACR
SCOPUS® Average Citations per reference: 269 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2020-08-07 05:46 in 114 seconds.




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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


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