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Print ISSN: 1582-7445
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doi: 10.4316/AECE


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  3/2013 - 11

 HIGH-IMPACT PAPER 

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
 
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Download PDF pdficon (782 KB) | Citation | Downloads: 1,710 | Views: 6,634

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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[CrossRef] [Web of Science Times Cited 90] [SCOPUS Times Cited 110]


[2] O. Aydogmus, "Design of a solar motor drive system fed by a direct-connected photovoltaic array", Advances in Electrical and Computer Engineering, vol. 12, no:3, pp. 5 3-58, 2012.
[CrossRef] [Full Text] [Web of Science Times Cited 9] [SCOPUS Times Cited 11]


[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.

[4] 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, vol. 10, no:3, pp. 40-47, 2010.
[CrossRef] [Full Text] [Web of Science Times Cited 8] [SCOPUS Times Cited 10]


[5] F. Liu, S. Duan, F. Liu, B. Liu, Y. Kang, "A variable step size inc mppt method for pv systems", IEEE Transactions on Industrial Electronics, vol. 55, no. 7, 2622-2628, 2008.
[CrossRef] [Web of Science Times Cited 856] [SCOPUS Times Cited 1249]


[6] H. Koizumi, T. Mizuno, T. Kaito, Y. Noda, N. Goshima, M. Kawasaki, K. Nagasaka, K. Kurokawa, "A novel microcontroller for grid connected photovoltaic systems", IEEE Transactions on Industrial Electronics, vol. 53, no. 6, pp. 1889-1897, 2006.
[CrossRef] [Web of Science Times Cited 94] [SCOPUS Times Cited 110]


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[CrossRef] [Web of Science Times Cited 459] [SCOPUS Times Cited 617]


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[CrossRef] [Web of Science Times Cited 22] [SCOPUS Times Cited 36]


[9] J. L. Agorreta, L. Reinaldos, R. Gonzalez, M. Borrega, J. Balda, L. Marroyo, "Fuzzy switching technique applied to PWM boost converter operating in mixed conduction mode for PV systems", IEEE Transactions on Industrial Electronics, vol. 56, no. 11, pp. 4363-4373, 2009.
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[CrossRef] [Web of Science Times Cited 1166] [SCOPUS Times Cited 1457]


[12] S. Barkat, A. Tlemçani, H. Nouri, "Noninteracting adaptive control of PMSM using interval type-2 fuzzy logic systems", IEEE Transactions on Fuzzy Systems, Vol. 19, No. 5, pp. 925-928, 2011.
[CrossRef] [Web of Science Times Cited 96] [SCOPUS Times Cited 112]


[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 73] [SCOPUS Times Cited 103]


[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 66]


[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 759] [SCOPUS Times Cited 935]


[16] J. Mendel, Uncertain Rule-Based Fuzzy Logic Systems: Introduction and New directions, Upper Saddle River, NJ: Prentice-Hall, 2001.

[17] N. Altin, "Single phase grid interactive pv system with mppt capability based on type-2 fuzzy logic systems", Int. Conf. on Renewable Energy Research and Applications, pp.1-6, 2012.
[CrossRef] [SCOPUS Times Cited 16]


[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.
[CrossRef] [Web of Science Times Cited 2779] [SCOPUS Times Cited 3700]


[19] C. A. Otieno, G. N. Nyakoe, C. W. Wekesa, "A neural fuzzy based maximum power point tracker for a photovoltaic system", 9th IEEE AFRICON, 1-6, 2009.
[CrossRef] [SCOPUS Times Cited 40]


[20] N. Altin, T. Yildirimoglu, "Labview/Matlab based photovoltaic system simulator with maximum power point tracking capability", Journal of Polytechnic, vol. 14, no: 4, pp. 271-280, 2011.

[21] M. A. Khanesar, E. Kayacan, M. Teshnehlab, O. Kaynak, "Analysis of the noise reduction property of type-2 fuzzy logic systems using a novel type-2 membership function", IEEE Transactions on Systems, Man, and Cybernetics-Part b: Cybernetics, vol. 41, no. 5, 1395-1406, 2011.
[CrossRef] [Web of Science Times Cited 80] [SCOPUS Times Cited 89]


[22] S. E. Jr. Mineiro, S. Daher, F. L. M. Antunes, C. M. T. Cruz, "Photovoltaic system for supply public illumination in electrical energy demand peak", 19. Annual IEEE Applied Power Electronics Conference and Exposition, vol. 3, 1501-1506, 2004.
[CrossRef] [SCOPUS Times Cited 21]


[23] Q. Liang, J. M. Mendel, "Interval type-2 fuzzy logic systems: theory and design", IEEE Transactions on Fuzzy Systems, vol. 8 no.5, 535-549, 2000.
[CrossRef] [Web of Science Times Cited 1447] [SCOPUS Times Cited 1789]


References Weight

Web of Science® Citations for all references: 8,001 TCR
SCOPUS® Citations for all references: 10,554 TCR

Web of Science® Average Citations per reference: 348 ACR
SCOPUS® Average Citations per reference: 459 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 2024-11-20 20:35 in 131 seconds.




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