摘要
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 local optimal solution of wind turbine blade which is designed based on Wilson theory, define the chord and twist angle distributions by Bezier curve. Maximize annual generating capacity as the goal to get the optimal blade design parameters and compared with Wilson＇ s, and then calculate the aerodynamic performance of these two blades in variable wind speeds. Results illustrated that the chords and twist angles of the blade designed by genetic algorithm are smaller than Wilson＇ s ; In rated wind speed, the blade designed by genetic algorithm had smaller thrust coefficients and a higher max power coefficient. In variable wind speeds, there＇ s little difference in output power between these two blades, but Wilson＇ s have higher root bending moment and rotor thrust about 4.7% and 7.3%.
出处
《太阳能学报》
EI
CAS
CSCD
北大核心
2016年第5期1107-1113,共7页
Acta Energiae Solaris Sinica
基金
国家自然科学基金(E51176129)
上海市教育委员会科研创新(重点)项目(13ZZ120
13YZ066)
教育部高等学校博士学科点专项科研基金(博导类)(20123120110008)
上海市研究生创新基金(JWCXSL1402)
关键词
水平轴风力机
叶片
气动优化
遗传算法
horizontal axis wind turbine
blade
aerodynamic optimization
genetic algorithm
