基于广义最小二乘的风力机风速-功率曲线拟合方法研究

Research on wind speed-power curve fitting model of wind turbine based on generalized least squares method

针对传统风速-功率拟合方法可能病态无解和拟合次数固定的缺陷,提出广义最小二乘自适应原理。此外,利用统计学原理,提出了适应于大型风电场风速-功率建模的风力机拟合数据序列产生方法,并根据风力机风速-功率数据数量级范围广的特点,采用数据重构原理,提高广义最小二乘的收敛性;最后给出了广义最小二乘应用于风力机风速-功率拟合的适应性分析,得出该方法具有很好适应能力的结论。经仿真验证,所提方法能够极大提高风力机风速-功率模型的拟合精度。

In order to solve the problem that the traditional wind speed-power fitting method may be ill conditioned and the number of fitting is fixed,a generalized least squares adaptive principle is proposed.In addition,a method for generating the fitting data sequence of wind turbines adapted to the wind power modeling of large wind farms is proposed based on the principle of statistics.And the data reconstruction principle is used to improve the convergence of generalized least squares according to the characteristics of wind turbine wind speed-power data.Finally,the applicability analysis of generalized least square method to wind speed-power model of wind turbine is given.The simulation results show that the proposed method can greatly improve the accuracy of wind speed-power model.