Longitudinal wind speed time series generation to wind turbine controllers tuning

*Asier González-González orcid scopus  -  Tecnalia Research & Innovation, Industry and Transport Division, Parque Tecnológico de Álava Leonardo Da Vinci, 11, E-01510 Miñano (Spain), Spain
Jose Manuel Lopez-Guede  -  Department of Systems Engineering and Automatic Department, Faculty of Engineering of Vitoria-Gasteiz, University of the Basque Country (UPV/EHU), Vitoria-Gasteiz, Spain
Published: 15 Dec 2018.
Open Access Creative Commons License This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

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Although there are a wide variety of applications that require wind speed time series (WSTS), this paper emphases on WSTS to be used into wind turbine controllers tuning. These simulations involve several WSTS to perform a proper assessment. These WSTS must assure realistic wind speed variations such as wind gusts and include some rare events such as extreme wind situations. The architecture proposed to generate this WSTS is based on autoregressive models with certain post-processing. The methodology used is entirely described by precise notation as well as it is parametrized by means of data gathered from a weather station. Two main different simulations are performed and assessment; the first simulation is fed by weather data with high wind speed and great variability. The second simulation, on the opposite, use calm wind speed as a data source.

Article History: Received 1st  June 2018; Received in revised form Sept 6th 2018; Accepted October 10th 2018; Available online

How to Cite This Article: González, A.G. and Guede, J.M.L. (2018) Longitudinal Wind Speed Time Series Generated With Autoregressive Methods For Wind Turbine Control.  International Journal of Renewable Energy Development, 7(3), 199-204.


Keywords: wind speed; time series; autoregressive models; wind turbine

Article Metrics:

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