Application and comparative performance analysis of PSO and ABC algorithms for optimal design of multimachine power system stabilizers

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dc.authorid0000-0002-7673-2553en_US
dc.contributor.authorEkinci, Serdar
dc.date.accessioned2019-07-03T11:34:58Z
dc.date.available2019-07-03T11:34:58Z
dc.date.issued2016-06-20en_US
dc.departmentBatman Üniversitesi Mühendislik - Mimarlık Fakültesi Bilgisayar Mühendisliği Bölümüen_US
dc.description.abstractThis paper presents the application and performance comparison of PSO and ABC optimization techniques, for multi-objective design of power system stabilizers (PSSs) in the multi-machine power system. The design objective is to improve the power system stability. The PSSs parameters tuning problem is converted to an optimization problem with the time domain-based objective function and both PSO and ABC optimization techniques are used to search for optimal stabilizers parameters. The optimized stabilizers are tested on multi-machine electric power system subjected to different disturbances. The performance of both optimization techniques in terms of computational time, convergence rate and solution quality is compared. The eigenvalue analysis, nonlinear timedomain simulation results, critical clearing times and some performance indices studies are introduced and compared in order to demonstrate the effectiveness of both optimization techniques in designing stabilizers, to enhance the dynamic stability of the system. What is more, the potential and superiority of the ABC algorithm over the PSO algorithm are verified.en_US
dc.identifier.citationEkinci, S . (2016). Application and comparative performance analysis of PSO and ABC algorithms for optimal design of multimachine power system stabilizers. Gazi University Journal of Science, 29 (2), pp. 323-334.en_US
dc.identifier.issn2147-1762
dc.identifier.scopusqualityQ3en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12402/2171
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakTR-Dizinen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherGazi Üniversitesien_US
dc.relation.journalGazi University Journal of Scienceen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.rightsAttribution-ShareAlike 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-sa/3.0/us/*
dc.subjectArtificial Bee Colony (ABC) Algorithmen_US
dc.subjectParticle Swarm Optimization (PSO)en_US
dc.subjectPSS Designen_US
dc.subjectDynamic Stabilityen_US
dc.subjectMulti-Machine Power Systemen_US
dc.titleApplication and comparative performance analysis of PSO and ABC algorithms for optimal design of multimachine power system stabilizersen_US
dc.typeArticleen_US

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