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

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


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Clarivate Analytics published the InCites Journal Citations Report for 2017. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.699, and the JCR 5-Year Impact Factor is 0.674.

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With new technologies, such as mobile communications, internet of things, and wide applications of social media, organizations generate a huge volume of data, much faster than several years ago. Big data, characterized by high volume, diversity and velocity, increasingly drives decision making and is changing the landscape of business intelligence, from governments to private organizations, from communities to individuals. Big data analytics that discover insights from evidences has a high demand for computing efficiency, knowledge discovery, problem solving, and event prediction. We dedicate a special section of Issue 4/2017 to Big Data. Prospective authors are asked to make the submissions for this section no later than the 31st of May 2017, placing "BigData - " before the paper title in OpenConf.

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  4/2011 - 13

Behavioral Model of Photovoltaic Panel in Simulink

ZAPLATILEK, K. See more information about ZAPLATILEK, K. on SCOPUS See more information about ZAPLATILEK, K. on IEEExplore See more information about ZAPLATILEK, K. on Web of Science, LEUCHTER, J. See more information about LEUCHTER, J. on SCOPUS See more information about LEUCHTER, J. on SCOPUS See more information about LEUCHTER, J. on Web of Science
Click to see author's profile in See more information about the author on SCOPUS SCOPUS, See more information about the author on IEEE Xplore IEEE Xplore, See more information about the author on Web of Science Web of Science

Download PDF pdficon (423 KB) | Citation | Downloads: 1,867 | Views: 4,847

Author keywords
solar panel, behavioral model, Matlab

References keywords
power(13), photovoltaic(10), systems(8), electronics(7), control(7), solar(6), system(5), point(5), tracking(4), photovoltaics(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2011-11-30
Volume 11, Issue 4, Year 2011, On page(s): 83 - 88
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2011.04013
Web of Science Accession Number: 000297764500013
SCOPUS ID: 84856619475

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This article deals with creation and application of a model of photovoltaic panel in the MATLAB and Simulink environments. An original model of the real PV panel is applied using the model based design technique. A so-called physical model is also developed using the SimPowerSystems library. The described PV panel model is applied for maximum power optimization in the one-shot and the continuous modes. A few illustrating examples and source code parts are also presented.

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

[1] J. Leuchter, P. Bauer, V. Rerucha, P. Bojda, "dc-dc converters with FPGA control for photovoltaic system," in Proc. 13th Power Electronics and Motion Control Conference, Poznan (Poland), 2008, pp. 422-427.
[CrossRef] [Web of Science Record] [SCOPUS Times Cited 6]

[2] X. Weidong, W. G. Dunford, A. Capel, "A novel modeling method for photovoltaic cells," in Proc. 35th Power Electronics Specialists Conference (PESC), Aachen (Germany), 2004, pp. 1950-1956.
[CrossRef] [Web of Science Times Cited 196] [SCOPUS Times Cited 299]

[3] J. Leuchter, V. Rerucha, A. F. Zobaa, "Mathematical modeling of photovoltaic systems," in Proc. 14th Power Electronics and Motion Control Conference (EPE-PEMC), Ohrid (Macedonia), 2010, pp. 422-427.
[CrossRef] [SCOPUS Times Cited 9]

[4] K. Zaplatilek, J. Leuchter, "Solar panels modelling in MATLABĀ® environment," Radionengineering, 2011, vol. 20, no. 2, pp. 445-450.

[5] R. Shaffer, Fundamentals of Power Electronics with MATLAB. Charles River Media, Boston, 2009.

[6] J. B. Dabney, T. L. Harman, Mastering Simulink, Pearson Prentice Hall, 2003.

[7] S. Yuvarajan, J. Shoeb, "A Fast and Accurate Maximum Power Point Tracker for PV Systems," In Proc. 23th Applied Power Electronics Conference and Exposition (APEC), Austin, 2008, pp. 167-172.
[CrossRef] [Web of Science Times Cited 8] [SCOPUS Times Cited 24]

[8] H. Patel, V. Agarwal, "Maximum Power Point Tracking Scheme for PV Systems Operating Under Partially Shaded Conditions," IEEE Transactions on Industrial Electronics, 2008, vol. 55, no. 4, pp. 1689-1698.
[CrossRef] [Web of Science Times Cited 481] [SCOPUS Times Cited 647]

[9] Ch. Chian-Song, "T-S Fuzzy Maximum Power Point Tracking Control of Solar Power Generation Systems," IEEE Transactions on Energy Conversion, 2010, vol. 25, no. 4, pp. 1123-1132.
[CrossRef] [Web of Science Times Cited 132] [SCOPUS Times Cited 172]

[10] S. Mehrnami, S. Farhangi, "A fast maximum power point tracking technique for PV powered systems," in Proc. 35th Annual Conference of IEEE Industrial Electronics (IECON), Porto (Portugal), 2009, pp. 42-46.
[CrossRef] [SCOPUS Times Cited 5]

[11] V. P. Benjamin, L. Chong, L. Zhang, D. Abbas, "Modeling and Control of a Bidirectional Converter for a Standalone Photovoltaic Power Plant," in Proc. EPE Conference 2007, Aalborg: EPE press.
[CrossRef] [SCOPUS Times Cited 9]

[12] R. Diver, C. Andraka, K. Rawlinson, T. Moss, V. Goldberg, G. Thomas, "Status of the Advanced Dish Development System Project," in Proc. of the ASME International Solar Energy Conference, Kohala Coast (Hawaii), 2003.
[CrossRef] [SCOPUS Times Cited 10]

[13] M. Lotker, Barriers to Commercialization of Large-Scale Solar Electricity: Lessons Learned from the LUZ Experience. Sandia National Laboratories, Albuquerque, NM, SAND 91-7014.

[14] F. Chimento, S. Musumeci, A. Raciti, C. Sapuppo, "A Control Algorithm for Power Converter in the Field of Photovoltaic Application, " in Proc. EPE Conference 2007, Aalborg: EPE Press.
[CrossRef] [SCOPUS Times Cited 15]

[15] E. de Jong, J. A. Ferreira, P. Bauer, "Design techniques for thermal management in switch mode converters," IEEE Transactions on Industry Applications, 2006, vol. 42, no. 6, pp 1375-1386.
[CrossRef] [Web of Science Times Cited 13] [SCOPUS Times Cited 16]

[16] Y. K. Renani, B. Vahidi, H. A. Abyaneh, "Effects of Photovoltaic and Fuel Cell Hybrid System on Distribution Network Considering the Voltage Limits," Advances in Electrical and Computer Engineering, 2010, vol. 10, no. 4, pp. 143-148.
[CrossRef] [Full Text] [Web of Science Times Cited 4] [SCOPUS Times Cited 4]

[17] D. Petreus, D. Moga, A. Rusu, T. Patarau, M. Munteanu, "Photovoltaic System with Smart Tracking of the Optimal Working Point," Advances in Electrical and Computer Engineering, 2010, vol. 10, no. 3, pp. 40-47.
[CrossRef] [Full Text] [Web of Science Times Cited 7] [SCOPUS Times Cited 8]

[18] A. Tofighi, A. Kalantar, "Adaptive Passivity-Based Control of PEM Fuel Cell/Battery Hybrid Power Source for Stand-Alone Applications," Advances in Electrical and Computer Engineering, 2010, vol. 10, no. 4, pp. 111-120.
[CrossRef] [Full Text] [Web of Science Times Cited 5] [SCOPUS Times Cited 8]

[19] R. A. Messenger, J. Ventre, Photovoltaic Systems Engineering. CRC Press, 3rd edition, 2010.

[20] S. R. Venham, M. A. Green, M. E. Watt, R. Corkish, Applied Photovoltaics. Routledge, 2nd edition, 2006.

[21] J. Nelson, The Physics of Solar Cells. Imperial College Press, 1st edition, 2003.

[22] H. Haberlin, Photovoltaics: System Design and Practice. Wiley, 1st edition, 2012.

[23] J. P. Dunlop, Photovoltaic Systems. Amer Technical Pub, 2nd edition, 2009.

[24] A. Luque, S. Hegedus, Handbook of Photovoltaic Science and Engineering. Wiley, 2nd edition, 2011.

[25] F. Antony, Ch. Durschner, K-H. Remmers, Photovoltaics for Professionals: Solar Electric Systems Marketing, Design and Installation. Routledge, 2007.

[26] A. McEvoy, T. Markvart, L. Castaner, Practical Handbook of Photovoltaics: Fundamentals and Applications. Academic Press, 2nd edition, 2011.

References Weight

Web of Science® Citations for all references: 846 TCR
SCOPUS® Citations for all references: 1,232 TCR

Web of Science® Average Citations per reference: 33 ACR
SCOPUS® Average Citations per reference: 47 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 2019-03-25 09:09 in 100 seconds.

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

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