基于遗传算法的风电机组叶片参数优化设计

Optimization design of wind turbine blade parameters by genetic algorithm

针对某2MW大型风电机组叶片进行气动性能分析,根据给出的叶片基本参数,以风能利用系数最大为优化目标,基于遗传算法对风电机组叶片的参数进行全局最优搜索,并对遗传算法和Wilson 设计法的优化结果进行数据分析,得到了风能利用效率更好的叶片外形参数。根据叶片外形参数进行建模,应用ANSYS 软件对叶片进行模态分析,研究了叶片前六阶模态下的响应情况,通过数值分析确定了叶片的最佳气动参数,为风电机组叶片的优化设计提供有效的方法。

From the aerodynamic performance analysis of the blade of a 2 MW large wind turbine, the target of the maximum wind energy utilization coefficient was optimized with the basic parameters of the blade, and the global optimization was carried out by genetic algorithm. The data analysis for the optimal results of the genetic algorithm and the Wilson design method was investigated, and leaf geometric shape design parameters were obtained with better wind power utilization efficiency. Based on the blade profile parameters, the ANSYS software was used to analyze the blade mode, and response of the blade in the 6 order mode was considered. The optimal aerodynamic parameters of the blade were determined from the numerical analysis results, which provided an optimal design of the wind turbine blade.