Comparison of ABC and Genetic Algorithms on Economic Power Dispatch

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dc.contributor.authorAfandi, A.N.
dc.contributor.authorFadlika, Irham
dc.contributor.authorSendari, Siti
dc.contributor.authorMiyauchi, Hajime
dc.contributor.authorFujita, Goro
dc.contributor.authorTutkun, Nedim
dc.date.accessioned2020-04-30T22:41:13Z
dc.date.available2020-04-30T22:41:13Z
dc.date.issued2018
dc.departmentDÜ, Mühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümüen_US
dc.description10th Annual International Conference on Information Technology and Electrical Engineering (ICITEE) -- JUL 24-26, 2018 -- Kuta, INDONESIAen_US
dc.descriptionFamily Name Deactivated, Given Names Deactivated/0000-0001-9019-810X; Fadlika, Irham/0000-0001-6201-5847; Sendari, Siti/0000-0002-8681-7024en_US
dc.descriptionWOS: 000455749500009en_US
dc.description.abstractRecently, an economic evaluation of the power system becomes one of main issues in the power system management since the power production and power selling consider a financial aspect. The system should be operated in the lowest cost and cheaper fee for consumers. In particular, an environmental protection also becomes a major issue to penetrate the pollutant production of thermal power plants. To cover this issue, one of strategies is approached using a combined economic emission dispatch (CEED) considered an economic dispatch (ED) and an emission dispatch (EmD). In these studies, the CEED is optimized using Artificial Bee Colony Algorithm which is contrasted to Genetic Algorithm for comparing both performances. By considering both algorithms, results show that generated powers lead to the total cost and pollutant emission. The total minimum cost is performed in the optimal solution with different speeds. Combinations of ED and EmD also give difference implications.en_US
dc.description.sponsorshipUniv Gadjah Mada, King Mongkuts Inst Technol Ladkrabangen_US
dc.identifier.endpage45en_US
dc.identifier.isbn978-1-5386-4739-4
dc.identifier.startpage40en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12684/3145
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherIeeeen_US
dc.relation.ispartofProceedings Of 2018 The 10Th International Conference On Information Technology And Electrical Engineering (Icitee)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectAbc algorithmen_US
dc.subjecteconomic dispatchen_US
dc.subjectemission dispatchen_US
dc.subjectgenetic algorithmen_US
dc.subjectload demanden_US
dc.subjectpower systemen_US
dc.titleComparison of ABC and Genetic Algorithms on Economic Power Dispatchen_US
dc.typeConference Objecten_US

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