Wind turbine power curve estimation based on cluster center fuzzy logic modeling

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dc.contributor.authorUestuentas, Taner
dc.contributor.authorSahin, Ahmet Duran
dc.date.accessioned2020-03-26T17:28:29Z
dc.date.available2020-03-26T17:28:29Z
dc.date.issued2008
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractWind energy applications and turbine installation at different scales have been increased for last decade. Technically wind turbine capacity has been improved at high levels. However, electricity could not be generated at all stages of wind speed and so there are some limits related to cut-in and cut-out data. One of the main problems in wind engineering is to estimate output data of wind turbines depends on wind speed and system values. Wind speed problematic values, that are less than cut-in and greater than cut-out, take the most important role for estimating wind power curve models. All wind turbines have different cut-in and cut-out limits and generating of electricity could be achieved in a certain interval that could be called as affective interval. Fuzzy logic that is a new and novel verbal logical approach has many applications in the field of engineering. Cluster center fuzzy logic modeling is also a new and the effective method in this scientific area. In this paper, the first power curve of a wind turbine is modeled by least square methodology. After that depending on the fuzzy logic approach a new application is realized. It is seen that, this curve type could be well represented and modeled by the clustering center fuzzy logic modeling than classical least square methodology. It is estimated that four or five cluster centers are enough for representing wind turbine power curve by running proposed method. (c) 2008 Elsevier Ltd. All rights reserved.en_US
dc.identifier.doi10.1016/j.jweia.2008.02.001en_US
dc.identifier.endpage620en_US
dc.identifier.issn0167-6105en_US
dc.identifier.issue5en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage611en_US
dc.identifier.urihttps://dx.doi.org/10.1016/j.jweia.2008.02.001
dc.identifier.urihttps://hdl.handle.net/20.500.12395/22788
dc.identifier.volume96en_US
dc.identifier.wosWOS:000257043300008en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherELSEVIER SCIENCE BVen_US
dc.relation.ispartofJOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICSen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectclusteren_US
dc.subjectfuzzy logicen_US
dc.subjectpower curveen_US
dc.subjectwinden_US
dc.subjectwind poweren_US
dc.titleWind turbine power curve estimation based on cluster center fuzzy logic modelingen_US
dc.typeArticleen_US

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