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Stefan cel Mare
University of Suceava
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Print ISSN: 1582-7445
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WorldCat: 643243560
doi: 10.4316/AECE


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  1/2017 - 6

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
 
Click to see author's profile in 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 (2,041 KB) | Citation | Downloads: 555 | Views: 1,751

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

Abstract
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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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References Weight

Web of Science® Citations for all references: 4,994 TCR
SCOPUS® Citations for all references: 54,334 TCR

Web of Science® Average Citations per reference: 94 ACR
SCOPUS® Average Citations per reference: 1,025 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

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