A Hybrid GA-PSO Approach Based on Similarity for Various Types of Economic Dispatch Problems

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dc.contributor.authorGüvenç, Uğur
dc.contributor.authorDuman, Serhat
dc.contributor.authorSaraçoğlu, Bilal
dc.contributor.authorÖztürk, Ali
dc.date.accessioned2020-04-30T22:38:40Z
dc.date.available2020-04-30T22:38:40Z
dc.date.issued2011
dc.departmentDÜ, Mühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümüen_US
dc.descriptionGUVENC, Ugur/0000-0002-5193-7990; Duman, Serhat/0000-0002-1091-125Xen_US
dc.descriptionWOS: 000288051500024en_US
dc.description.abstractU. Guvenc, S. Duman, B. Saracoglu, A. Ozturk. A Hybrid GA-PSO Approach Based on Similarity for Various Types of Economic Dispatch Problems // Electronics and Electrical Engineering. - Kaunas: Technologija, 2011. - No. 2(108). P. 109-114. Economic dispatch problem is an optimization problem where objective function is highly nonlinear. In this paper, an efficient method based on hybrid genetic algorithm- particle swarm optimization (GA-PSO) for economic dispatch (ED) problem 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 solve various types of economic dispatch (ED) problems in power systems such as, economic dispatch with valve point (EDVP) effects, the ED of generators with prohibited operating zones and ED with only fuel options 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 various type ED problems. Ill. 3, bibl. 20, tabl. 10 (in English; abstracts in English and Lithuanian).en_US
dc.identifier.doi10.5755/j01.eee.108.2.155en_US
dc.identifier.endpage114en_US
dc.identifier.issn1392-1215
dc.identifier.issue2en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage109en_US
dc.identifier.urihttps://doi.org/10.5755/j01.eee.108.2.155
dc.identifier.urihttps://hdl.handle.net/20.500.12684/2364
dc.identifier.volume108en_US
dc.identifier.wosWOS:000288051500024en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherKaunas Univ Technologyen_US
dc.relation.ispartofElektronika Ir Elektrotechnikaen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.titleA Hybrid GA-PSO Approach Based on Similarity for Various Types of Economic Dispatch Problemsen_US
dc.typeArticleen_US

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