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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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  3/2010 - 7

Photovoltaic System with Smart Tracking of the Optimal Working Point

PETREUS, D. See more information about PETREUS, D. on SCOPUS See more information about PETREUS, D. on IEEExplore See more information about PETREUS, D. on Web of Science, MOGA, D. See more information about  MOGA, D. on SCOPUS See more information about  MOGA, D. on SCOPUS See more information about MOGA, D. on Web of Science, RUSU, A. See more information about  RUSU, A. on SCOPUS See more information about  RUSU, A. on SCOPUS See more information about RUSU, A. on Web of Science, PATARAU, T. See more information about  PATARAU, T. on SCOPUS See more information about  PATARAU, T. on SCOPUS See more information about PATARAU, T. on Web of Science, MUNTEANU, M. See more information about MUNTEANU, M. on SCOPUS See more information about MUNTEANU, M. on SCOPUS See more information about MUNTEANU, M. 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

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Author keywords
photovoltaic, maximum power point tracking, boost converter, solar cell

References keywords
power(25), photovoltaic(10), maximum(10), point(9), tracking(8), electronics(8), solar(6), systems(5), simulation(4), mppt(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2010-08-31
Volume 10, Issue 3, Year 2010, On page(s): 40 - 47
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2010.03007
Web of Science Accession Number: 000281805600007
SCOPUS ID: 77956642775

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A photovoltaic (PV) system, based on a Maximum Power Point Tracking (MPPT) controller that extracts the maximum possible output power from the solar panel is described. Output efficiency of a PV energy system can be achieved only if the system working point is brought near the maximum power point (MPP). The proposed system, making use of several MPPT control algorithms (Perturb and Observe, Incremental conductance, Fuzzy Logic), demonstrates in simulations as well as in real experiments good tracking of the optimal working point.

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

[1] A. Barnett, C. Honsberg, "Achieving a Solar Cell Efficiency Greater than 50 Percent: Physics, Technology, Implementation and Milestones", University of Delaware, Electrical and Computer Engineering.

[2] Spectrolab, "Solar Cell Breaks the 40% Efficiency Barrier", Renewable Energy World, December 2006.

[3] J. A. Gow and C. D. Manning, "Development of a photovoltaic array model for use in power-electronics simulation studies," IEEE Proc. Elect. Power Appl., 1999, vol. 146, no. 2, pp. 193-200.
[CrossRef] [Web of Science Times Cited 462]

[4] M. G. Villalva, J. R. Gazoli, E. R. Filho, "Comprehensive Approach to Modeling and Simulation of Photovoltaic Arrays", IEEE Transactions on Power Electronics, Vol. 24, No 5, 2009, pp. 1198-1208.
[CrossRef] [Web of Science Times Cited 1490]

[5] Y. Yusof, S. H. Sayuti, M. Abdul Latif, and M. Z. C. Wanik, "Modeling and simulation of maximum power point tracker for photovoltaic system," Proc. Nat. Power Energy Conf. (PEC), 2004, pp. 88-93.

[6] G. Walker, "Evaluating MPPT converter topologies using a matlab PV model," J. Elect. Electron. Eng., Australia, 2001, vol. 21, no. 1, pp. 45-55.

[7] A. Driesse, S. Harrison, and P. Jain, "Evaluating the effectiveness of maximum power point tracking methods in photovoltaic power systems using array performance models", Proc. IEEE Power Electron. Spec. Conf. (PESC), 2007, pp. 145-151.
[CrossRef] [Web of Science Times Cited 16]

[8] M. A. Vitorino, L. V. Hartmann, A. M. N. Lima, and M. B. R. Correa, "Using the model of the solar cell for determining the maximum power point of photovoltaic systems", Proc. Eur. Conf. Power Electron. Appl., 2007, pp. 1-10.

[9] C. Hua and C. Shen, "Study of Maximum Power Tracking Techniques and Control of DC/DC Converters for Photovoltaic Power System", P29th Annual IEEE Power Electronics Specialists Conference, PESC98, vol. 1, Fukuoka, Japan, 1998, pp. 86-93.

[10] O. Wasynczuk, "Dynamic behavior of a class of photovoltaic power systems", IEEE Trans. Power App. Syst., vol. 102, no. 9, pp. 3031-3037, Sep. 1983.
[CrossRef] [Web of Science Times Cited 154]

[11] L. Zhang, A. Al-Amoudi, and Y. Bai, "Real-time maximum power point tracking for grid-connected photovoltaic systems", Proc. Eighth Int. Conf. Power Electronics Variable Speed Drives, 2000, pp. 124-129.

[12] D. Sera, T. Kerekes, R. Teodorescu, F. Blaabjerg, "Improved MPPT algorithms for rapidly changing environmental conditions", 12th International Power Electronics and Motion Control Conference, 2006, pp 1614-1616.

[13] A. Pandey, N. Dasgupta and A. K. Mukerjee, "High-Performance Algorithms for Drift Avoidance and Fast Tracking in Solar MPPT System", IEEE Transactions on Energy Conversion, Vol. 23, No. 2, June 2008.
[CrossRef] [Web of Science Times Cited 130]

[14] N. Femia, G. Petrone, G. Spagnuolo, and M. Vitelli, "Perturb and observe MPPT technique robustness improved", IEEE International Symposium on Industrial Electronics, vol. 2, 2004, pp. 845 - 850.
[CrossRef] [Web of Science Times Cited 4]

[15] X. Liu and L. A. C. Lopes, "An improved perturbation and observation maximum power point tracking algorithm for PV arrays", IEEE 35th Annual Power Electronics Specialists Conference, PESC 04., 2004, pp. 2005-2010.

[16] A. Rusu, D. Petreus, T. Patarau, "Application for Solar Power Management using Small Solar Panels", 15th International Symposium for Design and Technology of Electronics Packages (SIITME), September 2009, pp. 265 - 270.

[17] D. P. Hohm and M. E. Ropp, "Comparative Study of Maximum Power Point Tracking Algorithms", Progress in Photovoltaics: Research and Applications, 2003, 11:47-62.
[CrossRef] [Web of Science Times Cited 342]

[18] T. Esram, P. L. Chapman, "Comparison of Photovoltaic Array Maximum Power Point Tracking Techniques", IEEE Transactions on Energy Conversion, June 2007, Vol. 22, No. 2, pp. 439 - 449.
[CrossRef] [Web of Science Times Cited 2143]

[19] M. S. Ait Cheikh, C. Larbes, G. F. Tchoketch Kebir, A. Zerguerras, "Maximum power point tracking using a fuzzy logic control scheme", Revue des energies renouvelables, Centre de developpement des energies renouvelables, 2007, vol. 10, no. 3, pp. 387-395.

[20] M. A. S. Masoum, M. Sarvi, "Simulation and Construction of a New Fuzzy-Based Maximum Power Point Tracker for Photovoltaic Applications", Iranian Journal of Science and Technology, Vol. 29, No. B1, pp. 127-132, 2005.

[21] A. Ibrahim, "Fuzzy Logic for Embedded Systems Applications", Newnes, Elsevier, Sept. 2003.

[22] Texas Instruments, Inc., "Average Current Mode PWM Controller IC", UC3886 datasheet, June 1998.

References Weight

Web of Science® Citations for all references: 4,741 TCR
SCOPUS® Citations for all references: 0

Web of Science® Average Citations per reference: 216 ACR
SCOPUS® Average Citations per reference: 0

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 2019-02-12 05:39 in 83 seconds.

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

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