Optimal placement of wind turbines using novel binary invasive weed optimization

Basit Öğe Kaydı
dc.authorid0000-0002-4842-3817
dc.contributor.authorBeşkirli, Mehmet.
dc.contributor.authorKoç, Ismail.
dc.contributor.authorKodaz, Halife.
dc.date.accessioned2020-03-26T20:19:06Z
dc.date.available2020-03-26T20:19:06Z
dc.date.issued2019
dc.departmentSelçuk Üniversitesi, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.description.abstractWind turbines - which are significant in terms of clean energy production globally - are environmentally friendly, consistent and economical systems. Wind turbines, due to developing technology, have become one of the most widely used renewable energy resources, and every country has worked to satisfy its electricity demands with the help of wind energy. As the importance of wind energy increases all around the world, the importance of wind turbine placement also rises. In this study, the aim was to position wind turbines over a certain area of a wind farm to obtain maximum turbine power with minimum investment cost, thereby achieving the highest power efficiency. The experimental studies were conducted over a 2x2 km area; this area was divided into a 10x10 grid, and a 20x20 grid for more efficient placement. Because these operations occurred in a binary search space, Invasive Weed Optimization (IWO) - normally used to solve unceasing optimization problems - was used in this study by obtaining fourteen different binary Invasive Weed Optimization (BIWO1 to BIWO14) algorithms with the help of ten different transfer functions (four from the sshaped family, four from the v-shaped family, two based on modulo 2, ceil, ceil-round, ceil-floor and round-floor). The proposed method was compared with other studies carried out in the binary search space found in published literature. As a result, it was seen that the proposed algorithm was an efficient algorithm for solving the problem of wind turbine placement to achieve an optimal placement.en_US
dc.identifier.citationBeşkirli, M., Koc, I., Kodaz, H. (2019). Optimal Placement of Wind Turbines Using Novel Binary Invasive Weed Optimization. Tehnički vjesnik, 26(1), 56-63.
dc.identifier.doi10.17559/TV-20170725231351en_US
dc.identifier.endpage63en_US
dc.identifier.issn1330-3651en_US
dc.identifier.issn1848-6339en_US
dc.identifier.issue1en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage56en_US
dc.identifier.urihttps://dx.doi.org/10.17559/TV-20170725231351
dc.identifier.urihttps://hdl.handle.net/20.500.12395/38063
dc.identifier.volume26en_US
dc.identifier.wosWOS:000458827900009en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorBeşkirli, Mehmet.
dc.institutionauthorKoç, Ismail.
dc.institutionauthorKodaz, Halife.
dc.language.isoenen_US
dc.publisherUNIV OSIJEK, TECH FACen_US
dc.relation.ispartofTEHNICKI VJESNIK-TECHNICAL GAZETTEen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectbinary invasive weed optimizationen_US
dc.subjectoptimizationen_US
dc.subjectrenewable energyen_US
dc.subjectwind turbine placement problemen_US
dc.titleOptimal placement of wind turbines using novel binary invasive weed optimizationen_US
dc.typeArticleen_US

Dosyalar

Orijinal paket
Listeleniyor 1 - 1 / 1
Küçük Resim
İsim:
Mehmet BEŞKİRLİ.pdf
Boyut:
1.81 MB
Biçim:
Adobe Portable Document Format
Açıklama:
Full Text Access
İndir

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
Bilgisayar Mühendisliği Bölümü/Makale Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu