Energy Hub Economic Dispatch by Symbiotic Organisms Search Algorithm

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dc.authoridDuman, Serhat/0000-0002-1091-125X
dc.authorwosidDuman, Serhat/O-9406-2014
dc.contributor.authorGuvenc, Ugur
dc.contributor.authorOzkaya, Burcin
dc.contributor.authorBakir, Huseyin
dc.contributor.authorDuman, Serhat
dc.contributor.authorBingol, Okan
dc.date.accessioned2021-12-01T18:48:39Z
dc.date.available2021-12-01T18:48:39Z
dc.date.issued2020
dc.department[Belirlenecek]en_US
dc.descriptionInternational Conference on Artificial Intelligence and Applied Mathematics in Engineering (ICAIAME) -- APR 20-22, 2019 -- Antalya, TURKEYen_US
dc.description.abstractEnergy hub receives various energy carriers such as gas, electricity, and heat in its input and then converts them into required demands such as gas, cool, heat, compressed air, and electricity. The energy hub economic dispatch problem is a non-smooth, high-dimension, non-convex, and non-differential problem, it should be solved subject to equality and inequality constraints. In this study, symbiotic organisms search algorithm is carried out for energy hub economic dispatch problem to minimize the energy cost of the system. In an attempt to show the efficiency of the proposed algorithm, an energy hub system, which has 7 hubs and 17 energy production units, has been used. Simulation results of the symbiotic organisms search algorithm have been compared with some heuristic algorithms to show the ability of the proposed algorithm.en_US
dc.identifier.doi10.1007/978-3-030-36178-5_28
dc.identifier.endpage385en_US
dc.identifier.isbn978-3-030-36178-5; 978-3-030-36177-8
dc.identifier.issn2367-4512
dc.identifier.scopus2-s2.0-85083423229en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage375en_US
dc.identifier.urihttps://doi.org/10.1007/978-3-030-36178-5_28
dc.identifier.urihttps://hdl.handle.net/20.500.12684/10579
dc.identifier.volume43en_US
dc.identifier.wosWOS:000678771000028en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringer International Publishing Agen_US
dc.relation.ispartofArtificial Intelligence And Applied Mathematics In Engineering Problemsen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectEnergy huben_US
dc.subjectEnergy hub economic dispatchen_US
dc.subjectSymbiotic organisms search algorithmen_US
dc.subjectOptimizationen_US
dc.subjectSystemsen_US
dc.subjectModelen_US
dc.titleEnergy Hub Economic Dispatch by Symbiotic Organisms Search Algorithmen_US
dc.typeConference Objecten_US

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