威布尔分布风速下基于遗传算法的风力机叶片优化设计  

Optimization Design of Wind Turbine Blade Based on Genetic Algorithm under the Weibull Distribution of Wind Speed

作　　者：李帅斌[1] 王昊[1] 范海哲 

机构地区：[1]上海电力学院能源与机械工程学院,上海200090

出　　处：《上海电力学院学报》2016年第3期231-234,共4页Journal of Shanghai University of Electric Power

摘　　要：考虑了风速的威布尔(Weibull)分布,以年发电量最大为目标函数,运用遗传算法对某1.5 MW风力发电机叶片的气动性能进行了优化设计:将叶片沿展向分为13段,以每段的功率作为遗传算法的适应度函数.优化所得的气动外形参数体现了比Wilson方法和额定风速下的遗传算法更为合理的结果,弦长和扭角更趋于流线型分布,且扭角整体呈减小的趋势.The model based on genetic algorithm is applied to optimize the aerodynamic per- formance of a 1.5 MW wind turbine blades, and the objective function is annual energy production under the wind speed of Weibull distribution. The wind turbine blade is divided into 13 segments a- long the spanwise, and the power of each segment is used as the fitness function of genetic algo- rithm. The optimized aerodynamic parameters are more reasonable than those of the Wilson method and Genetic algorithm under rated wind speed, and chord length and torsion angle present a more streamline distribution and the torsion angle decreases overall.

关 键 词：风力机叶片 威布尔分布 遗传算法 优化设计 

分 类 号：TK83[动力工程及工程热物理—流体机械及工程]