A new optimization algorithm for solving wind turbine placement problem: Binary artificial algae algorithm

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dc.contributor.authorBeskirli, Mehmet
dc.contributor.authorKoc, Ismail
dc.contributor.authorHakli, Huseyin
dc.contributor.authorKodaz, Halife
dc.date.accessioned2020-03-26T19:52:44Z
dc.date.available2020-03-26T19:52:44Z
dc.date.issued2018
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractThe wind turbine has grown out to be one of the most common renewable energy sources around the world in recent years. As wind energy becomes more important, the significance of wind turbine placement also increases. This study was intended to position the wind turbines on a wind farm to achieve the highest performance possible. The turbine placement operation was designed for a 2 km x 2 km area. The surface of the area was calculated by dividing it into a 10 x 10 grid and a 20 x 20 grid with the use of binary coding. The calculation revealed ten different new binary algorithms using ten different transfer functions of the Artificial Algae Algorithm (AAA) that has been successfully applied to solve continuous optimization problems. These algorithms were applied to the turbine placement problem, and the algorithm that obtained the best result was called the Binary Artificial Algorithm (BinAAA). The results of the proposed algorithm for the binary turbine placement optimization problem were compared with those of other well-known algorithms in the relevant literature. The algorithm that was proposed in the study is an efficient algorithm for the placement problem of wind turbines since it optimized the binary search space and achieved the most successful result (C) 2017 Elsevier Ltd. All rights reserved.en_US
dc.description.sponsorshipScientific Research Project of Sirnak Universityen_US
dc.description.sponsorshipThis study has been supported by a Scientific Research Project of Sirnak University.en_US
dc.identifier.doi10.1016/j.renene.2017.12.087en_US
dc.identifier.endpage308en_US
dc.identifier.issn0960-1481en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage301en_US
dc.identifier.urihttps://dx.doi.org/10.1016/j.renene.2017.12.087
dc.identifier.urihttps://hdl.handle.net/20.500.12395/36267
dc.identifier.volume121en_US
dc.identifier.wosWOS:000426413600027en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherPERGAMON-ELSEVIER SCIENCE LTDen_US
dc.relation.ispartofRENEWABLE ENERGYen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectArtificial algae algorithmen_US
dc.subjectOptimizationen_US
dc.subjectRenewable energyen_US
dc.subjectWind turbine placement problemen_US
dc.titleA new optimization algorithm for solving wind turbine placement problem: Binary artificial algae algorithmen_US
dc.typeArticleen_US

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