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为避免风力机叶片设计陷入局部最优解,通过Bezier参数化曲线定义叶片弦长及扭角分布规律,采用遗传算法优化曲线控制点位置,以年发电量最大为优化目标,全局寻优叶片外形参数,并与Wilson设计叶片比较。分别计算两种设计叶片在额定风况及变风况下的气动性能,结果表明:通过遗传算法设计的叶片弦长、扭角更小;额定风况下,遗传算法设计叶片推力系数更小,最大功率系数更大;变风况下,两种设计叶片输出功率相差不大,但Wilson设计叶片的叶根弯矩和风轮推力更大,整个工作风速区平均为4.7%和7.3%。
In order to avoid the wind turbine blade design falling into the local optimal solution, the Bezier parameterization curve is used to define the chord length and torsion angle distribution. The genetic algorithm is used to optimize the position of the curve control point. With the maximum annual generation capacity as the optimization objective, Parameters, and compared with the Wilson design blade. The aerodynamic performance of two kinds of designed blades under rated wind conditions and variable wind conditions are respectively calculated. The results show that the blade chord designed by genetic algorithm has smaller torsion angle. Under rated wind conditions, the thrust coefficient of blade designed by genetic algorithm is smaller, The maximum power coefficient is bigger; under the condition of wind, the output power of the two kinds of design blades is not much different, but Wilson designs the blade root bending moment and wind wheel thrust greater, the average working wind speed area is 4.7% and 7.3%.