期刊名称：International Journal of Renewable Energy Development (IJRED)
印刷版ISSN：2252-4940
出版年度：2018
卷号：7
期号：3
页码：199-204
DOI：10.14710/ijred.7.3.199-204
语种：English
出版社：Center of Biomass & Renewable Energy, Dept. of Chemical Engineering, Diponegoro University
摘要：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 1 st June 2018; Received in revised form Sept 6 th 2018; Accepted October 10 th 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.
