SDE-based Wind Speed Models with Weibull Distribution and Exponential Autocorrelation

被引:0
|
作者
Zarate-Minano, Rafael [1 ]
Mele, Francesca Madia [2 ]
Milano, Federico [2 ]
机构
[1] Univ Castilla La Mancha, Escuela Ingn Minera & Ind Almaden, Almaden, Spain
[2] Univ Coll Dublin, Sch Elect & Elect Engn, Dublin, Ireland
基金
爱尔兰科学基金会;
关键词
SIMULATION;
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
This paper discusses three approaches to construct wind speed models based on Stochastic Differential Equations (SDEs). The methods are applied to construct models able to simulate wind speed trajectories that are statistically described by means of the Weibull distribution and the exponential autocor-relation. The ability of the three models to reproduce stochastic processes with the above indicated statistical properties is duly studied and compared. With this aim, wind speed measurements recorded in a weather station located in Ireland are analyzed. The parameters obtained in this analysis are used to set up the developed models. Finally, the statistical properties of the trajectories generated by the three models are compared with the statistical properties of the considered wind speed data set.
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页数:5
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