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

Print ISSN: 1582-7445
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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: 556 | Views: 1,297

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

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[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,
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[6] A. Senturk, "New method for computing single diode model parameters of photovoltaic models," Renewable Energy, vol. 128, part A, pp. 30-36,
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[CrossRef] [Web of Science Times Cited 129] [SCOPUS Times Cited 231]


[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 252] [SCOPUS Times Cited 293]


[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 138] [SCOPUS Times Cited 164]


[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,
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[CrossRef] [Web of Science Times Cited 132] [SCOPUS Times Cited 169]


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[CrossRef] [Web of Science Times Cited 1134] [SCOPUS Times Cited 1294]


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[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 103] [SCOPUS Times Cited 125]




References Weight

Web of Science® Citations for all references: 5,186 TCR
SCOPUS® Citations for all references: 6,456 TCR

Web of Science® Average Citations per reference: 247 ACR
SCOPUS® Average Citations per reference: 307 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 2021-06-15 14:46 in 112 seconds.




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