期刊
RENEWABLE ENERGY
卷 36, 期 11, 页码 3166-3177出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.renene.2011.03.016
关键词
Wind turbine; Mathematical modeling; Power curve; Method of least squares; Cubic spline interpolation; Wind speed distribution
Accurate modelling is crucial in designing an optimum system. Wind speed distribution of selected site, hub height and power output curve of chosen wind turbine, are the main factors which influence the performance of wind turbines, and therefore, these must be properly accounted for during modelling of the wind turbines. This paper presents comparative study of various methods for mathematical modelling of wind turbines, with reference to three commercially available wind turbins, with the help of an algorithm developed. It has been found that modelling methods, based on fundamental equations of power available in the wind, are cumbersome to use and do not correctly replicate the behaviour of actual wind turbines. Models based on a presumed shape of power curve, though simple to use, also lack the desired accuracy; however, they give satisfactory response for higher annual average wind speeds. Modelling methods in which actual power curve of a wind turbine is used for developing characteristic equations, by utilising curve fitting techniques of method of least squares and cubic spline interpolation, give accurate results for wind turbines having smooth power curve; whereas, for turbines having not so smooth power curve, model based on method of least squares is best suited. (C) 2011 Elsevier Ltd. All rights reserved.
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