基于Wilson理论和粒子群优化算法的风力发电机叶片参数优化

Param etric Optimization of Wind Turbine Blade Based on Wilson Theory and PSO Algorithm

为了提高风力发电机叶片的气动性能,在Wilson理论优化叶片弦长和扭角的基础上,以风力发电机的年发电量为优化目标,以叶片的弦长、扭角和翼型布置位置为优化变量,通过粒子群优化算法对风力发电机机叶片的参数进行优化。通过叶片参数优化,风力发电机的年发电量增大了0.189 GWh,增幅为6%,风能利用效率同时得到提高。

In order to improve the aerodynamic performance of the wind turbine blade, based on Wilson theory for optimization of blade chord length and torsion angle, by taking the annual power generation of the wind turbine as the optimization objective, and taking the chord length, torsion angle of the blade and the airfoil arrangement position as the variables, the parameters of the wind turbine blade were optimized by PSO algorithm. Through parametric optimization of the blade, the annual power generation of the wind turbines is increased by 0.189 GWh, an increase of 6 % , and the efficiency of the wind energy application is improved in the meantime.