Grey Wolf optimizer for allocation and sizing of distributed renewable generation

dc.contributor.authorCeylan, Oğuzhan
dc.contributor.authorCeylan, Oğuzhan
dc.contributor.authorÖzdemir, Aydoğan
dc.date.accessioned2020-12-24T13:44:43Z
dc.date.available2020-12-24T13:44:43Z
dc.date.issued2019
dc.departmentFakülteler, İşletme Fakültesi, Yönetim Bilişim Sistemleri Bölümüen_US
dc.description.abstractIncreasing penetration of distributed energy resources (DERs) have brought operational and control philosophy changes in Smart Grids (SGs). Renewable energy based technologies are becoming more important due to their economic and environmental impacts. Distributed generations (DGs) in the form of small renewable energy resources such as solar photovoltaics (PVs) and Wind Turbines (WTs) are connected in radial distribution networks near to the loads. This paper presents optimal siting and sizing of distributed renewable energy resource to maintain voltage magnitude profiles. Bus voltage magnitude differences for each hour in a day of a distribution system are formulated as an objective function. Three consecutive days are taken into account representing the three seasons of a year. A new nature inspired algorithm Grey Wolf Optimizer (GWO) is used as a solution tool. The proposed formulation is applied to 33 bus and 69 bus radial distribution networks. MATLAB simulations are performed to validate the performance of the approach. Simulation results are discussed and compared with of the several available ones'.en_US
dc.description.sponsorshipThe Scientific and Technological Research Council of Turkey TUBITAKen_US
dc.identifier.citation19
dc.identifier.doi10.1109/UPEC.2019.8893584en_US
dc.identifier.isbn978-172813349-2
dc.identifier.scopus2-s2.0-85075719399en_US
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://hdl.handle.net/20.500.12469/3658
dc.identifier.urihttps://doi.org/10.1109/UPEC.2019.8893584
dc.identifier.volume09/01/19en_US
dc.identifier.wosWOS:000619338200114en_US
dc.identifier.wosqualityN/A
dc.institutionauthorCeylan, Oğuzhanen_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.journal2019 54th International Universities Power Engineering Conference, UPEC 2019 - Proceedingsen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/embargoedAccessen_US
dc.subjectdistributed energy resources (DERs)en_US
dc.subjectnature inspired optimizationen_US
dc.subjectSmart Gridsen_US
dc.subjectvoltage magnitude problem Indexed keywordsen_US
dc.titleGrey Wolf optimizer for allocation and sizing of distributed renewable generationen_US
dc.typeConference Objecten_US
dspace.entity.typePublication
relation.isAuthorOfPublicationb80c3194-906c-4e78-a54c-e3cd1effc970
relation.isAuthorOfPublication.latestForDiscoveryb80c3194-906c-4e78-a54c-e3cd1effc970

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