Moth Swarm Algorithm Based Approach for the ACOPF Considering Wind and Tidal Energy

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dc.authoridDuman, Serhat/0000-0002-1091-125X
dc.authorwosidDuman, Serhat/O-9406-2014
dc.contributor.authorDuman, Serhat
dc.contributor.authorWu, Lei
dc.contributor.authorLi, Jie
dc.date.accessioned2021-12-01T18:49:26Z
dc.date.available2021-12-01T18:49:26Z
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.abstractIn the last decades, optimal power flow (OPF) problem is becoming one of the most important nonlinear and non-convex problems for the planning and operation of large-scale modern electrical power grids. In this study, the OPF problem with the consideration of two types of renewable energy sources (RES), tidal and wind energy, is studied. The Gumbel PDF is used to calculate power output of tidal energy. The proposed OPF problem is solved by Moth Swarm Algorithm (MSA), and tested on an IEEE 30-bus test system via two different cases with and without the consideration of prohibited operating zones. The simulation results show the effectiveness of the MSA based OPF approach.en_US
dc.description.sponsorshipScientific and Technological Research Council of Turkey (TUBITAK)Turkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK) [BIDEB 2219, 1059B191700888]en_US
dc.description.sponsorshipDr. Serhat DUMAN would like to thanks the support provided by Scientific and Technological Research Council of Turkey (TUBITAK) BIDEB 2219 Postdoctoral Research Program under application number 1059B191700888.en_US
dc.identifier.doi10.1007/978-3-030-36178-5_72
dc.identifier.endpage843en_US
dc.identifier.isbn978-3-030-36178-5; 978-3-030-36177-8
dc.identifier.issn2367-4512
dc.identifier.scopus2-s2.0-85083423668en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage830en_US
dc.identifier.urihttps://doi.org/10.1007/978-3-030-36178-5_72
dc.identifier.urihttps://hdl.handle.net/20.500.12684/10721
dc.identifier.volume43en_US
dc.identifier.wosWOS:000678771000072en_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.subjectMoth Swarm Algorithmen_US
dc.subjectOptimizationen_US
dc.subjectOptimal power flowen_US
dc.subjectModern power systemsen_US
dc.subjectWind-tidal energyen_US
dc.subjectOptimal Power-Flowen_US
dc.subjectSecurityen_US
dc.subjectBarrageen_US
dc.titleMoth Swarm Algorithm Based Approach for the ACOPF Considering Wind and Tidal Energyen_US
dc.typeConference Objecten_US

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