Renewable Energy Inclusion on Economic Power Optimization using Thunderstorm Algorithm

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dc.contributor.authorAfandi, A.N.
dc.contributor.authorSulistyorini, Yunis
dc.contributor.authorFujita, Goro
dc.contributor.authorKhai, Nguyen Phuc
dc.contributor.authorTutkun, Nedim
dc.date.accessioned2020-04-30T23:31:39Z
dc.date.available2020-04-30T23:31:39Z
dc.date.issued2017
dc.departmentDÜ, Mühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümüen_US
dc.description4th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI) -- SEP 19-21, 2017 -- Univ Ahmad Dahlan, Yogyakarta, INDONESIAen_US
dc.descriptionWOS: 000427670800069en_US
dc.description.abstractThis paper presents an economic operation considered renewable energy which is optimized using thunderstorm algorithm. The problem is constrained by an emission standard and various technical limits implemented on the 62-bus system model. Simulations showed that the renewable energy inclusion penetrates to the unit commitment of generating units with strongly approach for the computational solution. This inclusion also affects to the individual power production in accordance to the fuel cost and pollutant discharge.en_US
dc.description.sponsorshipIEEE Indonesia Sect, Inst Adv Engn & Sci, Univ Diponegoro, Univ Gajah Mada, Univ Islam Sultan Agung, Univ Sriwijaya, Univ Teknologi Malaysia, Univ Muhammadiyah Malangen_US
dc.identifier.endpage374en_US
dc.identifier.isbn978-1-5386-0549-3
dc.identifier.startpage369en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12684/4380
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherIeeeen_US
dc.relation.ispartof2017 4Th International Conference On Electrical Engineering, Computer Science And Informatics (Eecsi)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjecteconomic operationen_US
dc.subjectpollutant emissionen_US
dc.subjectrenewable energyen_US
dc.subjectthunderstorm algorithmen_US
dc.titleRenewable Energy Inclusion on Economic Power Optimization using Thunderstorm Algorithmen_US
dc.typeConference Objecten_US

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