An Improved Method for Estimating the Wind Power Density Distribution Function

作者：Morrissey Mark L^*; Cook Werner E; Greene J Scott

来源：Journal of Atmospheric and Oceanic Technology, 2010, 27(7): 1153-1164.

DOI：10.1175/2010JTECHA1390.1

The wind power density (WPD) distribution curve is essential for wind power assessment and wind turbine engineering The usual practice of estimating this curve from wind speed data is to first estimate the wind speed probability density PDF) using a nonparametric or parametric method The density function is then multiplied by one-half the wind speed cubed times the air density Unfortunately. this means that minor errors in the estimation of the wind speed PDF can result in large errors in the WPD distribution curve because the cubic term in the WPD function magnifies the error To avoid this problem. this impel presents a new method of estimating the WPD distribution curve through a direct estimation of the curve using a Gauss-Hermite expansion It is demonstrated that the proposed method provides a much more reliable estimate of the WPD distribution curve

• 出版日期2010-7