中文摘要：

利用Glauert模型对风力机叶片进行初始设计；以年发电量和叶片弦长光顺性作为优化目标，建立弦长与安装角多目标帕累托优化模型；利用遗传算法进行求解，结合实例进行验证；将结果与贝塞尔曲线约束的单目标模型和未采用曲线约束的单目标模型进行比较。结果显示：在采用相同算法参数的情况下，优化模型能够较好地提高年发电量，其中多目标优化模型能够达到与采用曲线约束优化模型相近的光顺性能，同时达到与未采用曲线约束优化模型相近的年发电量。

英文摘要：

A wind turbine blade is designed by using Giauert model. The pareto optimal model with the variables of chord and pitch angle is built with the objectives of AEP and smoothness of chord. It is carried out in genetic alogrithm method and verified with instances by comparing the model using Bezier curve as constrain and not. It shows that, under the same condition of algorithm parameters, the optimal models can improve the AEP, and the multi-objective optimization model can gain a similar smoothness with the Bezier one, and the AEP is closer to the model without using Bezier curve constrain.