Using Crow Algorithm for Optimizing Size of Wind Power Plant/Hybrid PV in Libya

Basit Öğe Kaydı
dc.contributor.authorElbaz, A.
dc.contributor.authorGuneser, M.T.
dc.date.accessioned2024-09-29T16:20:50Z
dc.date.available2024-09-29T16:20:50Z
dc.date.issued2019
dc.departmentKarabük Üniversitesien_US
dc.description3rd International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT 2019 -- 11 October 2019 through 13 October 2019 -- Ankara -- 156063en_US
dc.description.abstractTo design an efficient, sustainable and feasible hybrid system sizing optimization should be applied. In this study, a hybrid power plant, which consists of an off-grid PV and wind energy system to supply the demand of solar energy research center in Libya, was designed. Crow search technique was applied to decrease the installation cost and operating cost by sizing each part of hybrid system. We optimized the number of PV modules, powers of wind turbines and capacities batteries. After offering the design of hybrid system, we compared performance of crow algorithm with particle swarm optimization algorithm performance. Regarding the comparison, crow algorithm results sign a better performance for sizing a lower cost hybrid power plant consists of PV and wind systems. © 2019 IEEE.en_US
dc.identifier.doi10.1109/ISMSIT.2019.8932754
dc.identifier.isbn978-172813789-6
dc.identifier.scopus2-s2.0-85077994387en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://doi.org/10.1109/ISMSIT.2019.8932754
dc.identifier.urihttps://hdl.handle.net/20.500.14619/9363
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartof3rd International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT 2019 - Proceedingsen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectCrow Algorithmen_US
dc.subjecthybrid systemen_US
dc.subjectoff-grid PVen_US
dc.subjectWind energyen_US
dc.titleUsing Crow Algorithm for Optimizing Size of Wind Power Plant/Hybrid PV in Libyaen_US
dc.typeConference Objecten_US

Dosyalar

Koleksiyon

Scopus İndeksli Yayınlar Koleksiyonu