Grey Wolf Optimizer for Allocation and Sizing of Distributed Renewable Generation
dc.contributor.author | Ahmadi, Bahman | |
dc.contributor.author | Ceylan, Oğuzhan | |
dc.contributor.author | Özdemir, Aydoğan | |
dc.date.accessioned | 2020-12-24T13:44:43Z | |
dc.date.available | 2020-12-24T13:44:43Z | |
dc.date.issued | 2019 | |
dc.department | Fakülteler, İşletme Fakültesi, Yönetim Bilişim Sistemleri Bölümü | en_US |
dc.description.abstract | Increasing 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.sponsorship | The Scientific and Technological Research Council of Turkey TUBITAK | en_US |
dc.identifier.citation | 19 | |
dc.identifier.doi | 10.1109/UPEC.2019.8893584 | en_US |
dc.identifier.isbn | 978-172813349-2 | |
dc.identifier.scopus | 2-s2.0-85075719399 | en_US |
dc.identifier.uri | https://hdl.handle.net/20.500.12469/3658 | |
dc.identifier.uri | https://doi.org/10.1109/UPEC.2019.8893584 | |
dc.identifier.volume | 09/01/19 | en_US |
dc.identifier.wos | WOS:000619338200114 | en_US |
dc.institutionauthor | Ceylan, Oğuzhan | en_US |
dc.institutionauthor | Ceylan, Oğuzhan | |
dc.institutionauthor | Özdemir, Serpil | |
dc.language.iso | en | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | en_US |
dc.relation.journal | 2019 54th International Universities Power Engineering Conference, UPEC 2019 - Proceedings | en_US |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/embargoedAccess | en_US |
dc.subject | distributed energy resources (DERs) | en_US |
dc.subject | nature inspired optimization | en_US |
dc.subject | Smart Grids | en_US |
dc.subject | voltage magnitude problem Indexed keywords | en_US |
dc.title | Grey Wolf Optimizer for Allocation and Sizing of Distributed Renewable Generation | en_US |
dc.type | Conference Object | en_US |
dspace.entity.type | Publication | |
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relation.isAuthorOfPublication | b372e361-f619-4afd-9213-ea4c783d8e5a | |
relation.isAuthorOfPublication.latestForDiscovery | b80c3194-906c-4e78-a54c-e3cd1effc970 |