Journal
JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS
Volume 109, Issue -, Pages 68-78Publisher
ELSEVIER
DOI: 10.1016/j.jweia.2012.06.007
Keywords
Wind speed modelling; Wind turbines; Fractal sets; Genetic algorithms
Categories
Funding
- Polish Ministry of Science and Higher Education [N504 147838]
- AGH University of Science and Technology [11.11.140.032]
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In this paper a wind speed model as a time series is presented. The main goal is to use it as a model of the load of wind turbine gears for simulation of real, varying operational conditions for wind turbine vibration modelling. Several wind characteristics for evaluation of the wind model accuracy in the context of a wind turbine gears load simulation are proposed. Verification of the hypothesis that wind speed as a time series has a fractal character is another aim of this paper. The Weierstrass functions family, whose graphs are fractal sets, in combination with medium-term trends, is used as the basis of the model. The function with a fractal component is fitted to the past observation data. A genetic algorithm is used as the fitting procedure. Fractal dimension is utilized as a parameter in a fitness function. The results have shown that the proposed approach yielded very good fit for the observation data. The hypothesis about fractal character of the wind speed is positively verified. (C) 2012 Elsevier Ltd. All rights reserved.
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