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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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2017-Jun-14
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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: 747 | Views: 2,685

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

Cited-By ISI Web of Science

Web of Science® Times Cited: 16 [View]
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Cited-By CrossRef

SCOPUS® Times Cited: 18
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Cited-By CrossRef

[1] Design and control of a stand-alone hybrid power system, Madaci, Bouthaina, Chenni, Rachid, Kurt, Erol, Hemsas, Kamel Eddine, International Journal of Hydrogen Energy, ISSN 0360-3199, Issue 29, Volume 41, 2016.
Digital Object Identifier: 10.1016/j.ijhydene.2016.01.117
[CrossRef]

[2] Z-source T-type inverter for renewable energy systems with proportional resonant controller, Ozdemir, Saban, International Journal of Hydrogen Energy, ISSN 0360-3199, Issue 29, Volume 41, 2016.
Digital Object Identifier: 10.1016/j.ijhydene.2016.01.140
[CrossRef]

[3] Exploration of optimal design and performance of a hybrid wind-solar energy system, Bouzelata, Yahia, Altin, Necmi, Chenni, Rachid, Kurt, Erol, International Journal of Hydrogen Energy, ISSN 0360-3199, Issue 29, Volume 41, 2016.
Digital Object Identifier: 10.1016/j.ijhydene.2015.12.165
[CrossRef]

[4] Soft switching maximum power point tracker with resonant switch in PV system, Oncu, Selim, Nacar, Salih, International Journal of Hydrogen Energy, ISSN 0360-3199, Issue 29, Volume 41, 2016.
Digital Object Identifier: 10.1016/j.ijhydene.2016.01.088
[CrossRef]

[5] Critical factors affecting the photovoltaic characteristic and comparative study between two maximum power point tracking algorithms, Drissi, Hanen, Khediri, Jalel, Zaafrane, Wajdi, Braiek, Ezzedine Ben, International Journal of Hydrogen Energy, ISSN 0360-3199, Issue 13, Volume 42, 2017.
Digital Object Identifier: 10.1016/j.ijhydene.2016.09.193
[CrossRef]

[6] Enhancement of grid-connected photovoltaic system using ANFIS-GA under different circumstances, Vafaei, Saeed, Rezvani, Alireza, Gandomkar, Majid, Izadbakhsh, Maziar, Frontiers in Energy, ISSN 2095-1701, Issue 3, Volume 9, 2015.
Digital Object Identifier: 10.1007/s11708-015-0362-x
[CrossRef]

[7] Review of Recent Type-2 Fuzzy Controller Applications, Tai, Kevin, El-Sayed, Abdul-Rahman, Biglarbegian, Mohammad, Gonzalez, Claudia, Castillo, Oscar, Mahmud, Shohel, Algorithms, ISSN 1999-4893, Issue 2, Volume 9, 2016.
Digital Object Identifier: 10.3390/a9020039
[CrossRef]

[8] A software tool for testing maximum power point tracking algorithms using real working conditions, Amrouche, Badia, Belhaouas, Nasreddine, Achachera, Soulef, Boukadoum, Mohamed Tahar, International Journal of Hydrogen Energy, ISSN 0360-3199, Issue 29, Volume 41, 2016.
Digital Object Identifier: 10.1016/j.ijhydene.2016.04.147
[CrossRef]

[9] Pulse density modulation controlled converter for PV systems, Oncu, Selim, Karafil, Akif, International Journal of Hydrogen Energy, ISSN 0360-3199, Issue 28, Volume 42, 2017.
Digital Object Identifier: 10.1016/j.ijhydene.2017.05.163
[CrossRef]

[10] Interval type-2 fuzzy logic controller for multi input multi output system: A shower system case study, Wati, Dwi Ana Ratna, 2016 IEEE Conference on Systems, Process and Control (ICSPC), ISBN 978-1-5090-1181-0, 2016.
Digital Object Identifier: 10.1109/SPC.2016.7920721
[CrossRef]

[11] Maximum power point tracking quadratic boost converter for photovoltaic systems, Altin, Necmi, Ozturk, Ertan, 2016 8th International Conference on Electronics, Computers and Artificial Intelligence (ECAI), ISBN 978-1-5090-2047-8, 2016.
Digital Object Identifier: 10.1109/ECAI.2016.7861151
[CrossRef]

[12] Robust sliding mode - based interval Type-2 fuzzy logic observer for quadcopter UAVs, Firdaus, Ahmad Riyad, Tokhi, M. O., 2015 19th International Conference on System Theory, Control and Computing (ICSTCC), ISBN 978-1-4799-8481-7, 2015.
Digital Object Identifier: 10.1109/ICSTCC.2015.7321352
[CrossRef]

[13] Maximum power point tracking of photovoltaic systems using simple interval type-2 fuzzy logic controller based on hill climbing algorithm, Wati, Dwi Ana Ratna, 2016 International Seminar on Intelligent Technology and Its Applications (ISITIA), ISBN 978-1-5090-1709-6, 2016.
Digital Object Identifier: 10.1109/ISITIA.2016.7828743
[CrossRef]

Updated 3 days ago

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Copyright ©2001-2017
Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.

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