Combined economic emission dispatch solution using genetic algorithm based on similarity crossover

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dc.contributor.authorGüvenç, Uğur
dc.date.accessioned2020-04-30T22:41:01Z
dc.date.available2020-04-30T22:41:01Z
dc.date.issued2010
dc.departmentDÜ, Mühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümüen_US
dc.descriptionGUVENC, Ugur/0000-0002-5193-7990en_US
dc.descriptionWOS: 000282704100015en_US
dc.description.abstractCombined economic emission dispatch (CEED) problem is to schedule the committed generating units outputs to meet the required load demand at minimum operating cost with minimum emission simultaneously. This multi-objective CEED problem is converted into a single objective function using a price penalty factor. In this paper, a novel Genetic Algorithm method based on similarity crossover for solving CEED problem in power systems is proposed. In the proposed method, children created by using similarity measurement between mother and father chromosomes relationship. The feasibility of the proposed approach is demonstrated for two different power systems, and it is compared in the recent literature. The study results show that the proposed approach is more efficient in finding higher quality solutions in CEED problems.en_US
dc.identifier.endpage2456en_US
dc.identifier.issn1992-2248
dc.identifier.issue17en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage2451en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12684/3106
dc.identifier.volume5en_US
dc.identifier.wosWOS:000282704100015en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherAcademic Journalsen_US
dc.relation.ispartofScientific Research And Essaysen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectGenetic algorithmen_US
dc.subjectsimilarity measurementen_US
dc.subjecteconomic dispatchen_US
dc.subjectemission dispatchen_US
dc.titleCombined economic emission dispatch solution using genetic algorithm based on similarity crossoveren_US
dc.typeArticleen_US

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