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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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FPA Tuned Fuzzy Logic Controlled Synchronous Buck Converter for a Wave/SC Energy System

SAHIN, E. See more information about SAHIN, E. on SCOPUS See more information about SAHIN, E. on IEEExplore See more information about SAHIN, E. on Web of Science, ALTAS, I. H. See more information about ALTAS, I. H. on SCOPUS See more information about ALTAS, I. H. on SCOPUS See more information about ALTAS, I. H. on Web of Science
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Download PDF pdficon (2,041 KB) | Citation | Downloads: 612 | Views: 2,145

Author keywords
fuzzy control, heuristic algorithms, renewable energy sources, supercapacitors, DC-DC power converters

References keywords
energy(30), power(20), fuzzy(17), systems(16), control(16), wave(15), system(11), logic(10), applications(10), conversion(9)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2017-02-28
Volume 17, Issue 1, Year 2017, On page(s): 39 - 48
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2017.01006
Web of Science Accession Number: 000396335900006
SCOPUS ID: 85014151061

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This paper presents a flower pollination algorithm (FPA) tuned fuzzy logic controlled (FLC) synchronous buck converter (SBC) for an integrated wave/ supercapacitor (SC) hybrid energy system. In order to compensate the irregular wave effects on electrical side of the wave energy converter (WEC), a SC unit charged by solar panels is connected in parallel to the WEC system and a SBC is controlled to provide more reliable and stable voltage to the DC load. In order to test the performance of the designed FLC, a classical proportional-integral-derivative (PID) controller is also employed. Both of the controllers are optimized by FPA which is a pretty new optimization algorithm and a well-known optimization algorithm of which particle swarm optimization (PSO) to minimize the integral of time weighted absolute error (ITAE) performance index. Also, the other error-based objective functions are considered. The entire energy system and controllers are developed in Matlab/Simulink and realized experimentally. Real time applications are done through DS1104 Controller Board. The simulation and experimental results show that FPA tuned fuzzy logic controller provides lower value performance indices than conventional PID controller by reducing output voltage sags and swells of the wave/SC energy system.

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Cited-By CrossRef

[1] A novel control strategy for mode seamless switching of PV converter in DC microgrid based on double integral sliding mode control, Zhang, Qinjin, Zhuang, Xuzhou, Liu, Yancheng, Wang, Chuan, Guo, Hongzhi, ISA Transactions, ISSN 0019-0578, Issue , 2020.
Digital Object Identifier: 10.1016/j.isatra.2019.12.013

[2] Five Level Cascaded H-Bridge D-STATCOM using a new Fuzzy and PI Controllers model for Wind Energy Systems, YANMAZ, K., ALTAS, I. H., MENGI, O. O., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 4, Volume 17, 2017.
Digital Object Identifier: 10.4316/AECE.2017.04007
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[3] Genetically Optimization of an Asymmetrical Fuzzy Logic Based Photovoltaic Maximum Power Point Tracking Controller, AL-GIZI, A., AL-CHLAIHAWI, S., LOUZAZNI, M., CRACIUNESCU, A., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 4, Volume 17, 2017.
Digital Object Identifier: 10.4316/AECE.2017.04009
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[4] Compatibility of objective functions with simplex algorithm for controller tuning of HVDC system, Rasool, Haaris, Rasool, Aazim, Ikram, Ataul Aziz, Rasool, Urfa, Jamil, Mohsin, Rasool, Haaziq, Ingeniería e Investigación, ISSN 2248-8723, Issue 3, Volume 39, 2020.
Digital Object Identifier: 10.15446/ing.investig.v39n3.70221

[5] Designing Dynamic Positioning System Based on H∞ Robust Recurrent Cerebellar Model Articulation Controller, Ta, V.P, Dang, X.K, Dong, V.H, Do, V.D, 2018 4th International Conference on Green Technology and Sustainable Development (GTSD), ISBN 978-1-5386-5126-1, 2018.
Digital Object Identifier: 10.1109/GTSD.2018.8595553

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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania

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