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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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  3/2018 - 8

A New Method for MPPT Algorithm Implementation and Testing, Suitable for Photovoltaic Cells

SFIRAT, A. See more information about SFIRAT, A. on SCOPUS See more information about SFIRAT, A. on IEEExplore See more information about SFIRAT, A. on Web of Science, GONTEAN, A. See more information about  GONTEAN, A. on SCOPUS See more information about  GONTEAN, A. on SCOPUS See more information about GONTEAN, A. on Web of Science, BULARKA, S. See more information about BULARKA, S. on SCOPUS See more information about BULARKA, S. on SCOPUS See more information about BULARKA, S. on Web of Science
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Download PDF pdficon (1,451 KB) | Citation | Downloads: 542 | Views: 582

Author keywords
algorithms, maximum power point trackers, photovoltaic cells, simulation, solar energy

References keywords
photovoltaic(18), solar(14), power(13), energy(11), cell(8), maximum(7), system(6), point(6), model(6), tracking(5)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2018-08-31
Volume 18, Issue 3, Year 2018, On page(s): 53 - 60
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2018.03008
Web of Science Accession Number: 000442420900008
SCOPUS ID: 85052151335

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The goal of this paper is to present an implementation method for a Maximum Power Point Tracking (MPPT) algorithm using an electronic load and custom designed LabView software. The aim is to facilitate the testing of the algorithm in laboratory conditions, before it can be used in the real world, improving development time, facilitating cost reduction and offering confidence in the design. This paper analyses the most suitable MPPT algorithms for testing purposes and suggests a complete software and hardware implementation for hardware in the loop testing which can facilitate in-depth evaluation of different algorithms. In order to replicate realistic stimuli for the MPPT algorithm, a solar array simulator has been designed. Using the proposed method, the performance of various MPPT algorithms for different atmospheric conditions can be evaluated. The hardware and software setup have been tested and validated in laboratory conditions. The experimental results have validated the proposed evaluation method and the good dynamic response of the MPPT algorithm.

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

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[9] T. R. Wellawatta, Y.-T. Seo, H.-H. Lee, Sung-Jin Choi, "A regulated incremental conductance MPPT algorithm for photovoltaic system", IEEE Energy Conversion Congress and Exposition (ECCE), Cincinnati, 2017,

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[16] K. Emery, Measurement and Characterization of Solar Cells and Modules, In Handbook of Photovoltaic Science and Engineering, 2nd ed.; Luque, A., Hegedus S., Eds.; John Wiley & Sons, United Kingdom, 2011, pp. 1164, ISBN 978-0-470-72169-8, pp. 797-840.

[17] J. A. Gow, C.D. Manning, "Development of a photovoltaic array model for use in power-electronics simulation studies", IEE Proc. - El. Power App. 1999, 146(2), pp. 193 - 200,
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[18] M. P. Aparicio, J.T. Pelegrí-Sebastiá Sogorb, V. Llario, Modeling of Photovoltaic Cell Using Free Software Application for Training and Design Circuit in Photovoltaic Solar Energy, In New Developments in Renewable Energy, Arman H., Yuksel I., Eds., Intech: Vienna, Austria, 2013, pp. 121 - 139, ISBN 978-953-51-1040-8.

[19] S. Sumathi, L.A. Kumar, P. Surekha, Solar PV and Wind Energy Conversion Systems. An Introduction to Theory, Modeling with MATLAB/SIMULINK, and the Role of Soft Computing Techniques, Springer: Switzerland, 2015, pp. 59-144, ISBN-13: 978-3319149400.

[20] T. Khatib, W. Elmenreich, Modeling of Photovoltaic Systems Using MATLAB: Simplified Green Codes, John Wiley & Sons: Hoboken, New Jersey, US, 2016, pp. 39 - 88, ISBN-13: 978-1119118107.

[21] M. G. Villalva, J.R. Gazoli, E.R. Filho, "Comprehensive Approach to Modeling and Simulation of Photovoltaic Arrays", IEEE T. Power Electr. 2009, 24(5), pp. 1198 - 1208,
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[22] W. Kim, W. Choi, "A novel parameter extraction method for the one-diode solar cell model", Sol Energy 2010, 84(6), pp. 1008-1019,
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[23] J. Cubas, S. Pindado, C. de Manuel, "Explicit Expressions for Solar Panel Equivalent Circuit Parameters Based on Analytical Formulation and the Lambert W-Function", Energies 2014, 7, pp. 4098-4115,

[24] A. Gontean, S. Lica, S. Bularka, R. Szabo, D. Lascu, "A Novel High Accuracy PV Cell Model Including Selfheating and Parameter Variation", Energies 2018,
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[27] M. Rosu-Hamzescu, S. Oprea, "Practical Guide to implementing Solar Panel MPPT algorithms", Microchip, AN1521.

[28] Yuan. X, Zhao Y, Zhu W. "Real-Time Simulation and Research on Photovoltaic Power System based on RT-LAB", The Open Fuels & Energy Science Journal, 2015, 8:183-188,

[29] Rajesh P, Rajasekar S, Rajesh G, Paulson S, Solar Array System Simulation using FPGA with Hardware Co-Simulation", International Symposium on Industrial Electronics ,

[30] Linear Technology, LT8611 datasheet, [Online] Available: Temporary on-line reference link removed - see the PDF document

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[32] H&H Electronic Load datasheet, PLA Series, [Online] Available: Temporary on-line reference link removed - see the PDF document

References Weight

Web of Science® Citations for all references: 5,618 TCR
SCOPUS® Citations for all references: 0

Web of Science® Average Citations per reference: 170 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 2019-05-21 04:16 in 126 seconds.

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Disclaimer: All queries to the respective databases were made by using the DOI record of every reference (where available). Due to technical problems beyond our control, the information is not always accurate. Please use the CrossRef link to visit the respective publisher site.

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