Please use this identifier to cite or link to this item: http://dspace.utpl.edu.ec/jspui/handle/123456789/18801
Full metadata record
DC FieldValueLanguage
dc.contributor.authorHernández Perdomo, W.es_ES
dc.contributor.authorMaldonado Correa, J.es_ES
dc.date.accessioned2017-06-16T22:02:24Z-
dc.date.available2016-05-20es_ES
dc.date.available2017-06-16T22:02:24Z-
dc.date.issued2016-06-17es_ES
dc.date.submitted31/05/2016es_ES
dc.identifier10.3390/s16060816es_ES
dc.identifier.isbn1424-8220es_ES
dc.identifier.other10.3390/s16060816es_ES
dc.identifier.urihttp://dspace.utpl.edu.ec/handle/123456789/18801-
dc.description.abstractIn this paper, a method of verification of the power performance of a wind farm is presented. This method is based on the Friedman�s test, which is a nonparametric statistical inference technique, and it uses the information that is collected by the SCADA system from the sensors embedded in the wind turbines in order to carry out the power performance verification of a wind farm. Here, the guaranteed power curve of the wind turbines is used as one more wind turbine of the wind farm under assessment, and a multiple comparison method is used to investigate differences between pairs of wind turbines with respect to their power performance. The proposed method says whether the power performance of the specific wind farm under assessment differs significantly from what would be expected, and it also allows wind farm owners to know whether their wind farm has either a perfect power performance or an acceptable power performance. Finally, the power performance verification of an actual wind farm is carried out. The results of the application of the proposed method showed that the power performance of the specific wind farm under assessment was acceptable.es_ES
dc.languageIngléses_ES
dc.subjectSCADA systemes_ES
dc.subjectwind farm power performancees_ES
dc.subjectnonparametric statistical testses_ES
dc.titlePower performance verification of a wind farm using the Friedman�s testes_ES
dc.typeArticlees_ES
dc.publisherSensorses_ES
Appears in Collections:Artículos de revistas Científicas



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.