Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/3808
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dc.contributor.authorFescioğlu, Ünver, Nilgün-
dc.contributor.authorBarlas, Ayca-
dc.contributor.authorYılmaz, Damla-
dc.contributor.authorDemli, Uğur Ozhan-
dc.contributor.authorBulgan, Ali Çağdaş-
dc.contributor.authorKaraoğlu, Eren Can-
dc.contributor.authorAtaşoy, Tuğrul-
dc.contributor.authorErcin, Özden-
dc.date.accessioned2020-09-18T06:43:05Z-
dc.date.available2020-09-18T06:43:05Z-
dc.date.issued2019-11
dc.identifier.citationFescioglu-Unver, N., Barlas, A., Yilmaz, D., Demli, U. O., Bulgan, A. C., Karaoglu, E. C., ... & Ercin, O. (2019). Resource management optimization for a smart microgrid. Journal of Renewable and Sustainable Energy, 11(6), 065501.en_US
dc.identifier.issn1941-7012
dc.identifier.otherarticle number 65501
dc.identifier.urihttps://hdl.handle.net/20.500.11851/3808-
dc.identifier.urihttps://doi.org/10.1063/1.5131317-
dc.description.abstractOptimal planning of resources with daily/real time resource management is important for obtaining the most benefit from microgrids. There exist several mathematical models and heuristic rule based policies for microgrid resource management. Mathematical models provide optimal results, while heuristic policies are simple to implement but cannot guarantee optimality. Although both models are used in the literature, studies do not analyze the benefits of using mathematical models over heuristic rule based ones. This study proposes a mixed integer programming based mathematical model and a rule based model and compares their performances for a newly established microgrid at Turkey. Both models aim to minimize the daily cost of the microgrid by planning the use, sale, and storage of the energy obtained from the renewable resources. The results quantify the benefits of using the mathematical model over the rule based model for the case microgrid under different conditions. The analysis shows that the difference between the models' performances changes according to the energy pricing policy and seasons. Under certain conditions, the simple rule based policy can provide close to optimal results.en_US
dc.language.isoenen_US
dc.publisherAmerican Institute of Physics Inc.en_US
dc.relation.ispartofJournal of Renewable and Sustainable Energyen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectEnergy Managementen_US
dc.subjectGenerationen_US
dc.subjectSystemsen_US
dc.subjectModelen_US
dc.titleResource management optimization for a smart microgriden_US
dc.typeArticleen_US
dc.departmentFaculties, Faculty of Engineering, Department of Industrial Engineeringen_US
dc.departmentFakülteler, Mühendislik Fakültesi, Endüstri Mühendisliği Bölümütr_TR
dc.identifier.volume11
dc.identifier.issue6
dc.relation.tubitakScientific and Technological Research Council of Turkey (TUBITAK) [TEYDEB1509-9130083]en_US
dc.authorid0000-0002-5332-8670-
dc.identifier.wosWOS:000505573900020en_US
dc.identifier.scopus2-s2.0-85076931077en_US
dc.institutionauthorFescioğlu Ünver, Nilgün-
dc.identifier.doi10.1063/1.5131317-
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.relation.otherRepublic of Turkey Energy Market Regulatory Authority (EPDK)
dc.identifier.scopusqualityQ3-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.openairetypeArticle-
item.cerifentitytypePublications-
item.languageiso639-1en-
crisitem.author.dept02.4. Department of Industrial Engineering-
Appears in Collections:Endüstri Mühendisliği Bölümü / Department of Industrial Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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