Show simple item record

dc.contributor.authorCordeiro Costas, Moisés 
dc.contributor.authorVillanueva Torres, Daniel 
dc.contributor.authorFeijóo Lorenzo, Andrés Elías 
dc.contributor.authorMartínez Torres, Javier
dc.date.accessioned2021-05-05T12:35:25Z
dc.date.available2021-05-05T12:35:25Z
dc.date.issued2021-04-08
dc.identifier.citationApplied Sciences, 11(8): 3355 (2021)spa
dc.identifier.issn20763417
dc.identifier.urihttp://hdl.handle.net/11093/2101
dc.description.abstractNowadays, there is a growing trend to incorporate renewables in electrical power systems and, in particular, wind energy, which has become an important primary source in the electricity mix of many countries, where wind farms have been proliferating in recent years. This circumstance makes it particularly interesting to understand wind behavior because generated power depends on it. In this paper, a method is proposed to synthetically generate sequences of wind speed values satisfying two important constraints. The first consists of fitting the given statistical distributions, as the generally accepted fact is assumed that the measured wind speed in a location follows a certain distribution. The second consists of imposing spatial and temporal correlations among the simulated wind speed sequences. The method was successfully checked under different scenarios, depending on variables, such as the number of locations, the duration of the data collection period or the size of the simulated series, and the results were of high accuracy.spa
dc.language.isoengspa
dc.publisherApplied Sciencesspa
dc.rightsAttribution 4.0 International (CC BY 4.0)
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.rights.uri
dc.titleSimulation of wind speeds with spatio-temporal correlationspa
dc.typearticlespa
dc.rights.accessRightsopenAccessspa
dc.identifier.doi10.3390/app11083355
dc.identifier.editorhttps://www.mdpi.com/2076-3417/11/8/3355spa
dc.publisher.departamentoEnxeñaría eléctricaspa
dc.publisher.departamentoMatemática aplicada Ispa
dc.publisher.grupoinvestigacionGrupo de Investigación en Redes Eléctricasspa
dc.publisher.grupoinvestigacionExplotación de Minasspa
dc.subject.unesco3322.05 Fuentes no Convencionales de Energíaspa
dc.subject.unesco1209 Estadísticaspa
dc.subject.unesco2501 Ciencias de la Atmósferaspa
dc.date.updated2021-05-05T10:05:27Z


Files in this item

[PDF]

    Show simple item record

    Attribution 4.0 International (CC BY 4.0)
    Except where otherwise noted, this item's license is described as Attribution 4.0 International (CC BY 4.0)