改进的NSGA-Ⅱ算法研究风力机叶片多目标优化

王珑; 王同光; 罗源

doi:10.3879/j.issn.1000-0887.2011.06.006

改进的NSGA-Ⅱ算法研究风力机叶片多目标优化

doi: 10.3879/j.issn.1000-0887.2011.06.006

南京航空航天大学江苏省风力机设计高技术研究重点实验室,南京 210016

基金项目: 国家重点基础研究发展计划(973计划)资助项目(2007CB714600)

详细信息

作者简介:
王珑(1982- ),男,江苏淮安人,博士生(E-mail:wl2007@nuaa.edu.cn);王同光,教授,博士,博士生导师(联系人.E-mail:tgwang@nuaa.edu.cn).

中图分类号: TM614
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出版历程
- 收稿日期: 2011-01-15
- 修回日期: 2011-04-14
- 刊出日期: 2011-06-15

Improved NSGA-Ⅱ in Multi-Objective Optimization Studies of Wind Turbine Blades

Jiangsu Key Laboratory of Hi-Tech Research for Wind Turbine Design, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, P. R. China

摘要

摘要: 将一种采用精英控制策略和动态拥挤方法用于快速非支配排序遗传算法（NSGA-Ⅱ），并应用到风力机叶片的优化研究中，获得了一种新颖的风力机叶片多目标优化设计方法．作为应用算例，以设计风速下的功率系数最大和叶片质量最小为优化目标，用该方法设计了5 MW大型风力机叶片．优化结果表明，此算法在处理风力机多目标优化问题取得了良好的效果，给出的是一个Pareto最优解集，而不是传统优化方法追求的单个最优解，为风力机多目标优化设计提供新的思路和通用的算法．
- 风力机 /
- 多目标优化设计 /
- Pareto最优解 /
- NSGA-Ⅱ
Abstract: The non-dominated sorting genetic algorithm was improved with controlled elitism and dynamic crowding distance,obtaining a novel multi-objective optimization design algorithm for wind turbine blades.As an example,a 5 MW wind turbine blade design,taking maximum power coefficient and minimum blade mass as the optimization objectives,was presented.It is illustrated from the optimal results that this algorithm has a good performance in handling multi-objective optimization of wind turbine and it gives a Pareto-optimal solutions set rather than the optimum solution from the conventional multi-objective optimization problems.The wind turbine blade optimization method presented provides a new idea and general algorithm for multi-objective optimization of wind turbine.
- wind turbine /
- multi-objective optimization /
- Pareto-optimal solutions /
- NSGA-Ⅱ

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参考文献(20)

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