PDF models and synthetic model for the wind speed fluctuations based on the resolution of Langevin equation

被引:44
作者
Calif, Rudy [1 ]
机构
[1] Univ Antilles Guyane, EA 4098, LARGE Lab Geosci & Energies, F-97159 Pap, France
关键词
Wind speed fluctuations; Probability Density Functions; Gram-Charlier series; Langevin equation; Fokker-Planck equation; Mixture of PDF; DISTRIBUTIONS;
D O I
10.1016/j.apenergy.2012.05.007
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
Wind energy production is very sensitive to turbulent wind speed. Thus rapid variation of wind speed due to changes in the local meteorological conditions can lead to electrical power variations of the order of the nominal power output, in particular when wind power variations on very short time scales, range at few seconds to 1 h, are considered. In small grid as they exist on islands (Guadeloupean Archipelago: French West Indies) such fluctuations can cause instabilities in case of intermediate power shortages. The developed analysis in [14] reveals three main classes of time series for the wind speed fluctuations. In this work, Probability Density Functions (PDFs) are proposed to fit the wind speed fluctuations distributions in each class. After, to simulate wind speed fluctuations sequences, we use a stochastic differential equation, the Langevin equation considering Gaussian turbulence PDF (class I), Gram-Charlier PDF (class II) and a mixture of gaussian PDF (class III). The statistical and dynamical properties of simulated wind sequences are close to those of measured wind sequences, for each class. (C) 2012 Elsevier Ltd. All rights reserved.
引用
收藏
页码:173 / 182
页数:10
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