Performance analysis of biogeography-based optimization for automatic voltage regulator system

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dc.contributor.authorGüvenç, Uğur
dc.contributor.authorYiğit, Tuncay
dc.contributor.authorIşık, Ali Hakan
dc.contributor.authorAkkaya, İbrahim
dc.date.accessioned2020-04-30T23:20:42Z
dc.date.available2020-04-30T23:20:42Z
dc.date.issued2016
dc.departmentDÜ, Teknoloji Fakültesi, Elektrik-Elektronik Mühendisliği Bölümüen_US
dc.descriptionGUVENC, Ugur/0000-0002-5193-7990; Akkaya, Ibrahim/0000-0003-0605-7115en_US
dc.descriptionWOS: 000374121500033en_US
dc.description.abstractA self-tuning method to determine the appropriate parameters of a proportional-integral-derivative controller for an automatic voltage regulator (AVR) system using a biogeography-based optimization (BBO) algorithm is proposed in this study. The BBO algorithm was developed based on the theory of biogeography, which describes migration and its results. We propose that the BBO algorithm has a high-quality solution and stable convergence characteristics, and thus it improves the transient response of the controlled system. The performance of the BBO algorithm depends on the transient response, root locus, and Bode analysis. Robustness analysis is done in the AVR system, which is tuned by an artificial bee colony (ABC) algorithm in order to identify its response to changes in the system parameters. We compare the BBO algorithm with the ABC algorithm, particle swarm optimization algorithm, and differential evolution algorithm. The results of this comparison show that the BBO algorithm has a better tuning capability than the other optimization algorithms.en_US
dc.identifier.doi10.3906/elk-1311-111en_US
dc.identifier.endpage1162en_US
dc.identifier.issn1300-0632
dc.identifier.issn1303-6203
dc.identifier.issue3en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage1150en_US
dc.identifier.urihttps://doi.org/10.3906/elk-1311-111
dc.identifier.urihttps://hdl.handle.net/20.500.12684/4059
dc.identifier.volume24en_US
dc.identifier.wosWOS:000374121500033en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherTubitak Scientific & Technical Research Council Turkeyen_US
dc.relation.ispartofTurkish Journal Of Electrical Engineering And Computer Sciencesen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectAutomatic voltage regulatoren_US
dc.subjectbiogeography-based optimizationen_US
dc.subjectself-tuning controlen_US
dc.titlePerformance analysis of biogeography-based optimization for automatic voltage regulator systemen_US
dc.typeArticleen_US

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