联合Wilson方法与遗传算法的水平轴风力机叶片优化设计

Optimization Design of Horizontal Axis Wind Turbine Blade Based on Wilson Method and Genetic Algorithm

考虑到风力机叶片设计中的Wilson方法的有效性,以及遗传算法的全局最优性,以Wilson优化方法所得到的扭角线性修正值作为遗传算法优化过程中的输入量,对叶片弦长重新搜索寻优。通过比较Wilson优化方法、遗传算法优化方法和联合优化设计方法,分别得到叶片的气动外形数据和气动性能的计算结果。结果验证了联合优化设计方法的优越性,比单独使用Wilson方法或遗传算法所得到的叶片优化结果更好。

Considering the effectiveness of Wilson method and the global optimization of genetic algorithm,the combined method is reasonably integrated. Using the torsion angular distribution designed by the Wilson method as the input of genetic algorithm,and the chord length is optimized globally. Then a 1.5 MW wind turbine blade is optimized,using the wind energy utilization coefficient as objective function and the chord length distribution as constraint conditions. Compared with the separate design results of Wilson method and genetic algorithm,there are great advantages in aerodynamic performance and power output for the combined optimization method.