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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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Analysis of the Hybrid PSO-InC MPPT for Different Partial Shading Conditions, LEOPOLDINO, A. L. M., FREITAS, C. M., MONTEIRO, L. F. C.
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  3/2014 - 11

 HIGH-IMPACT PAPER 

Performance Comparison of Widely-Used Maximum Power Point Tracker Algorithms under Real Environmental Conditions

DURUSU, A. See more information about DURUSU, A. on SCOPUS See more information about DURUSU, A. on IEEExplore See more information about DURUSU, A. on Web of Science, NAKIR, I. See more information about  NAKIR, I. on SCOPUS See more information about  NAKIR, I. on SCOPUS See more information about NAKIR, I. on Web of Science, AJDER, A. See more information about  AJDER, A. on SCOPUS See more information about  AJDER, A. on SCOPUS See more information about AJDER, A. on Web of Science, AYAZ, R. See more information about  AYAZ, R. on SCOPUS See more information about  AYAZ, R. on SCOPUS See more information about AYAZ, R. on Web of Science, AKCA, H. See more information about  AKCA, H. on SCOPUS See more information about  AKCA, H. on SCOPUS See more information about AKCA, H. on Web of Science, TANRIOVEN, M. See more information about TANRIOVEN, M. on SCOPUS See more information about TANRIOVEN, M. on SCOPUS See more information about TANRIOVEN, M. on Web of Science
 
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Download PDF pdficon (990 KB) | Citation | Downloads: 986 | Views: 2,841

Author keywords
maximum power point trackers, outdoor conditions, performance evaluation, photovoltaic system

References keywords
power(16), photovoltaic(12), energy(12), tracking(11), maximum(11), point(9), solar(8), techniques(5), system(5), systems(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2014-08-31
Volume 14, Issue 3, Year 2014, On page(s): 89 - 94
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2014.03011
Web of Science Accession Number: 000340869800011
SCOPUS ID: 84907362888

Abstract
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Full text preview
Maximum power point trackers (MPPTs) play an essential role in extracting power from photovoltaic (PV) panels as they make the solar panels to operate at the maximum power point (MPP) whatever the changes of environmental conditions are. For this reason, they take an important place in the increase of PV system efficiency. MPPTs are driven by MPPT algorithms and a number of MPPT algorithms are proposed in the literature. The comparison of the MPPT algorithms in literature are made by a sun simulator based test system under laboratory conditions for short durations. However, in this study, the performances of four most commonly used MPPT algorithms are compared under real environmental conditions for longer periods. A dual identical experimental setup is designed to make a comparison between two the considered MPPT algorithms as synchronized. As a result of this study, the ranking among these algorithms are presented and the results show that Incremental Conductance (IC) algorithm gives the best performance.


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

[1] V. Salas, E. Oli'as, A. Barrado, and A. La' zaro, "Review of the maximum power point tracking algorithms for stand-alone photovoltaic systems," Solar Energy Mater. Solar Cells, vol. 90, pp. 1555-1578, July 2006.
[CrossRef] [Web of Science Times Cited 764] [SCOPUS Times Cited 1058]


[2] M. Berrera, A. Dolara, R. Faranda, and S. Leva, "Experimental test of seven widely- adopted MPTT Algorithms," in IEEE Bucharest Power Tech Conf., Bucharest, 2009, pp. 1-8.
[CrossRef] [SCOPUS Times Cited 82]


[3] T. Esram and P.L. Chapman, "Comparison of photovoltaic array maximum power point tracking techniques," IEEE Trans. Energy Convers., vol. 22, pp. 439-449, May 2007.
[CrossRef] [Web of Science Times Cited 3178] [SCOPUS Times Cited 4411]


[4] D.P. Hohm and M.E. Ropp, "Comparative study of maximum power point tracking algorithms," Prog. Photovolt. Res. Appl., vol. 11, pp. 47-62, Jan. 2003.
[CrossRef] [Web of Science Times Cited 475] [SCOPUS Times Cited 692]


[5] C. Hua and C. Shen, "Comparative study of peak power tracking techniques for solar storage system," in IEEE Applied Power Electronics Conference and Exposition; California, 1998, pp. 679-85.
[CrossRef]


[6] A. R. Reisi, M. H. Moradi, and S. Jamas, "Classification and comparison of maximum power point tracking techniques for photovoltaic system: A review," Renew. Sustain. Energy Rev., vol. 19, pp. 433-443, Mar. 2013.
[CrossRef] [Web of Science Times Cited 433] [SCOPUS Times Cited 571]


[7] B. Subudhi and R. Pradhan, "A comparative study on maximum power point tracking techniques for photovoltaic power systems," IEEE Trans. Sustain. Energy, vol. 4, pp. 89-98, Jan. 2013.
[CrossRef] [Web of Science Times Cited 1149] [SCOPUS Times Cited 1584]


[8] M. A. G. Brito, L. Galotto, L. P. Sampaio, G. A. Melo and C. A. Canesin, "Evaluation of the main MPPT techniques for photovoltaic application," IEEE Trans. Ind. Electron., vol. 60, pp. 1157-1167, May 2013.
[CrossRef] [Web of Science Times Cited 930] [SCOPUS Times Cited 1277]


[9] A. Mellit, H. Rezzouk, A. Messai, and B. Medjahed, "FPGA-based real time implementation of MPPT-controller for photovoltaic systems," Renew. Energy, vol. 36, pp. 1652-1661, May 2011.
[CrossRef] [Web of Science Times Cited 91] [SCOPUS Times Cited 124]


[10] K. H. Hussein, I. Muta, T. Hoshino and M. Osakada, "Maximum photovoltaic power tracking: an algorithm for rapidly changing atmospheric conditions," IEEE Proc. Gen. Trans. Distrib., vol. 142, pp. 59-64, Jan. 1995.
[CrossRef] [Web of Science Times Cited 1034] [SCOPUS Times Cited 1518]


[11] K. Ishaque, Z. Salam, A. Shamsudin, and M. Amjad, "A direct control based maximum power point tracking method for photovoltaic system under partial shading conditions using particle swarm optimization algorithm," Appl. Energy, vol. 99, pp. 414-422, Nov. 2012.
[CrossRef] [Web of Science Times Cited 160] [SCOPUS Times Cited 212]


[12] C. R. S. Reinoso, D. H. Milone, and R. H. Buitrago, "Simulation of photovoltaic centrals with dynamic shading," Appl. Energy, vol. 103, pp. 278-289, Mar. 2013.
[CrossRef] [Web of Science Times Cited 57] [SCOPUS Times Cited 68]


[13] N. Femia, G. Petrone, G. Spagnuolo, and M. Vitelli, "Optimization of perturb and observe maximum power point tracking method," IEEE Trans. Power Electron., vol. 20, pp. 963-973, July 2005.
[CrossRef] [Web of Science Times Cited 1885] [SCOPUS Times Cited 2568]


[14] C. H. Lin, C. H. Huang, Y. C. Du, and J. L. Chen, "Maximum photovoltaic power tracking for the PV array using the fractional-order incremental conductance method," Appl. Energy, vol. 88, pp. 4840-4847, Dec. 2011.
[CrossRef] [Web of Science Times Cited 127] [SCOPUS Times Cited 155]


[15] V. Salas, E. Oli'as, A. La' zaro, and A. Barrado, "New algorithm using only one variable measurement applied to a maximum power point tracker," Solar Energy Mater. Solar Cells, vol. 87, pp. 675-684, May 2005.
[CrossRef] [Web of Science Times Cited 46] [SCOPUS Times Cited 65]


[16] T. Noguchi, S. Togashi, and R. Nakamoto, "Short-Current Pulse Based Adaptive Maximum Power Point Tracking Method for Multiple Photovoltaic and Converter Module System," IEEE Trans. Ind. Electron, vol. 49, pp. 217-23, Feb. 2002.
[CrossRef] [Web of Science Times Cited 423] [SCOPUS Times Cited 591]


[17] B. Amrouche, A. Guessoum, and M. Belhamel, "A simple behavioural model for solar module electric characteristics based on the first order system step response for MPPT study and comparison," Appl. Energy, vol. 91, pp. 395-404, Mar. 2012.
[CrossRef] [Web of Science Times Cited 51] [SCOPUS Times Cited 63]


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[CrossRef] [SCOPUS Times Cited 13]


[19] T. Govindasamy, J. Liang, T. Yingtang, and P. Luis, "Photovoltaic module thermal/wind performance: Long-term monitoring and model development for energy rating," in NCPV and Solar Program Review Meeting, 2003, pp. 936-939.



References Weight

Web of Science® Citations for all references: 10,803 TCR
SCOPUS® Citations for all references: 15,052 TCR

Web of Science® Average Citations per reference: 540 ACR
SCOPUS® Average Citations per reference: 753 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 2024-04-19 07:07 in 107 seconds.




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