Modelling wind turbine power curves based on Frank’s copula

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dc.contributor.authorGarcia-Vaca, M. A.
dc.contributor.authorSierra-Garcia, J. E.
dc.contributor.authorSantos, M.
dc.contributor.authorPandit, Ravi
dc.date.accessioned2023-07-19T11:41:36Z
dc.date.available2023-07-19T11:41:36Z
dc.date.issued2023-07-18
dc.descriptionPresented at: 21st International Conference on Renewable Energies and Power Quality (ICREPQ’23)en_UK
dc.description.abstractIn the study of wind turbines, one of the most relevant and useful indicators is the power curve. It has been shown to be of paramount importance in evaluating turbine performance and therefore reducing operation and maintenance (O&M) costs. Various techniques can be applied to model and obtain the shape of this curve, which relates the electrical power generated by a turbine to the wind speed. Statistical copulas are used in this paper, a tool used in other fields such as econometrics, and whose potential lies in its ability to capture the complex dependency between the variables involved. In particular, the Frank copula is applied to obtain a probabilistic model of the power curve of a wind turbine. This model is compared with the Gaussian Mixture Model, a technique widely used to obtain parametric probabilistic models. As a result of this comparison, it is observed that the Frank copula model fits the power curve of the wind turbine with greater precision and reliability, which would allow its use for prediction and fault detection.en_UK
dc.identifier.citationGarcia-Vaca MA, Sierra-Garcia JE, Santos M, Pandit R. (2023) Modelling wind turbine power curves based on Frank’s copula. Renewable Energy and Power Quality Journal, Volume 21, Issue 5, July 2023, Article Number 378en_UK
dc.identifier.issn2172-038X
dc.identifier.urihttps://doi.org/10.24084/repqj21.378
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/20018
dc.language.isoenen_UK
dc.publisherEuropean Association for the Development of Renewable Energies, Environment and Power Qualityen_UK
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectWind turbineen_UK
dc.subjectO&Men_UK
dc.subjectpower curveen_UK
dc.subjectprobabilistic modelen_UK
dc.subjectstatistical copulasen_UK
dc.subjectFrank’s copulaen_UK
dc.titleModelling wind turbine power curves based on Frank’s copulaen_UK
dc.typeConference paperen_UK

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