Tuning of Optimal Classical and Fractional Order PID Parameters forAutomatic Generation Control Based on the Bacterial Swarm Optimization

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dc.contributor.authorOzdemir, Mahmut T.
dc.contributor.authorOzturk, Dursun
dc.contributor.authorEke, Ibrahim
dc.contributor.authorCelik, Vedat
dc.contributor.authorLee, Kwang Y.
dc.date.accessioned2020-06-25T18:15:45Z
dc.date.available2020-06-25T18:15:45Z
dc.date.issued2015
dc.departmentKırıkkale Üniversitesi
dc.description9th IFAC Symposium on Control of Power and Energy Systems (CPES 2015) -- DEC 09-11, 2015 -- New Delhi, INDIA
dc.descriptionOzdemir, Mahmut Temel/0000-0002-5795-2550; EKE, ibrahim/0000-0003-4792-238X; CELIK, Vedat/0000-0001-8870-8465
dc.description.abstractParticle Swarm Optimization algorithm converges rapidly during the initial stage of a global search, but around global optimum, the search process slows down. In order to overcome this problem and to further enhance the performance of Particle Swarm Optimization. this paper implements a hybrid algorithm. Bacterial Swarm Optimization, combining the features of Bacterial Foraging Optimization and Particle Swarm Optimization The PID parameters of classical and fractional-order controllers are optimized with Bacterial Swann Optimization for load frequency control of a two area power system. Simulation results show fractional-order PID controller has less settling time and less overshoot than the classical PID controller for most of studies. (C) 2015, IFAC (International Rderation or Automatic Control) Hosting by Elsevier Ltd. All rights reserved.en_US
dc.identifier.doi10.1016/j.ifacol.2015.12.429
dc.identifier.endpage506en_US
dc.identifier.issn2405-8963
dc.identifier.issue30en_US
dc.identifier.scopus2-s2.0-84964290999
dc.identifier.scopusqualityQ3
dc.identifier.startpage501en_US
dc.identifier.urihttps://doi.org/10.1016/j.ifacol.2015.12.429
dc.identifier.urihttps://hdl.handle.net/20.500.12587/6258
dc.identifier.volume48en_US
dc.identifier.wosWOS:000375855300086
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherElsevier Science Bven_US
dc.relation.ispartofIfac Papersonline
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectPower system controlen_US
dc.subjectautomatic generation controlen_US
dc.subjectbacterial swarm optimizationen_US
dc.subjectfractional calculusen_US
dc.subjectfractional-order PID controlleren_US
dc.titleTuning of Optimal Classical and Fractional Order PID Parameters forAutomatic Generation Control Based on the Bacterial Swarm Optimizationen_US
dc.typeConference Object

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