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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: 644266260
doi: 10.4316/AECE


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  3/2013 - 11

Interval Type-2 Fuzzy Logic Controller Based Maximum Power Point Tracking in Photovoltaic Systems

ALTIN, N. See more information about ALTIN, N. on SCOPUS See more information about ALTIN, N. on IEEExplore See more information about ALTIN, N. on Web of Science
 
Click to see author's profile on 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 (782 KB) | Citation | Downloads: 686 | Views: 2,162

Author keywords
Boost converter, interval type-2 fuzzy logic controller, MPPT, photovoltaic systems

References keywords
fuzzy(16), systems(15), type(9), photovoltaic(9), logic(8), system(6), electronics(6), power(5), industrial(4), grid(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2013-08-31
Volume 13, Issue 3, Year 2013, On page(s): 65 - 70
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2013.03011
Web of Science Accession Number: 000326321600011
SCOPUS ID: 84884916465

Abstract
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In this paper, interval type-2 fuzzy logic controller based maximum power point tracking method is proposed for photovoltaic systems. The proposed interval type-2 fuzzy logic controller has two inputs and one output. Rate of change in photovoltaic system output power and rate of change in photovoltaic system terminal voltage are selected as input variables and change in duty cycle as output variable. Seven type-2 membership functions are used for determined input and output variables of fuzzy logic controller. Since type-2 fuzzy sets are used, effect of uncertainties on maximum power point tracking capability is removed. Operation point of the photovoltaic system is controlled via a boost type DC-DC converter. Simulation results show that the proposed maximum power point tracking method provides fast dynamic response, and it is also useful for rapidly changing atmospheric conditions.


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

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[3] I. Sefa, N. Altin, "Grid interactive photovoltaic inverters-a review", J. Fac. Eng. Arch. Gazi Univ., vol. 24, no:3, pp.409-424, 2009.

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[13] P. Z. Lin, C. M. Lin, C. F. Hsu, T. T. Lee, "Type-2 fuzzy controller design using a sliding-mode approach for application to DC-DC converters", Proc. IEE Electr. Power Appl., vol. 152, no. 6, pp. 1482-1488, 2005.
[CrossRef] [Web of Science Times Cited 51] [SCOPUS Times Cited 74]


[14] L. Li, W. H. Lin, H. Liu, "Type-2 fuzzy logic approach for short-term traffic forecasting", Proc. Inst. Elect. Eng.—Intell. Transp. Syst., vol. 153, no. 1, pp. 33-40, 2006.
[CrossRef] [SCOPUS Times Cited 36]


[15] H. Hagras, "A hierarchical type-2 fuzzy logic control architecture for autonomous mobile robots", IEEE Trans. on Fuzzy Systems, vol. 12, no. 4, pp. 524-539, 2004.
[CrossRef] [Web of Science Times Cited 417] [SCOPUS Times Cited 561]


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[CrossRef] [SCOPUS Record]


[18] 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, pp. 1198-1208, 2009.
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[CrossRef]


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[CrossRef] [Web of Science Times Cited 689] [SCOPUS Times Cited 948]


References Weight

Web of Science® Citations for all references: 3,208 TCR
SCOPUS® Citations for all references: 4,783 TCR

Web of Science® Average Citations per reference: 139 ACR
SCOPUS® Average Citations per reference: 208 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 2016-12-05 18:23 in 108 seconds.




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