| Improved non-dominated sorting genetic algorithm （NSGA）-II in multi-objective optimization studies of wind turbine blades |
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| 引用本文： | 王珑,王同光,罗源.Improved non-dominated sorting genetic algorithm （NSGA）-II in multi-objective optimization studies of wind turbine blades[J].应用数学和力学(英文版),2011,32(6):739-748. |
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| 作者姓名： | 王珑 王同光 罗源 |
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| 作者单位： | Jiangsu Key Laboratory of Hi-Tech Research for Wind Turbine Design, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, P. R. China |
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| 基金项目： | Project supported by the National Basic Research Program of China (973 Program) (No. 2007CB714600) |
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| 摘 要： |
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| 收稿时间： | 7 December 2009 |
Improved non-dominated sorting genetic algorithm (NSGA)-II in multi-objective optimization studies of wind turbine blades |
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| Long Wang,Tong-guang Wang,Yuan Luo.Improved non-dominated sorting genetic algorithm (NSGA)-II in multi-objective optimization studies of wind turbine blades[J].Applied Mathematics and Mechanics(English Edition),2011,32(6):739-748. |
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| Authors: | Long Wang Tong-guang Wang Yuan Luo |
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| Institution: | Long WANG,Tong-guang WANG,Yuan LUO (Jiangsu Key Laboratory of Hi-Tech Research for Wind Turbine Design,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,P.R.China) |
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| Abstract: | The non-dominated sorting genetic algorithm (NSGA) is improved with the controlled elitism and dynamic crowding distance. A novel multi-objective optimization algorithm is obtained for wind turbine blades. As an example, a 5 MW wind turbine blade design is presented by taking the maximum power coefficient and the minimum blade mass as the optimization objectives. The optimal results show that this algorithm has good performance in handling the multi-objective optimization of wind turbines, and it gives a Pareto-optimal solution set rather than the optimum solutions to the conventional multiobjective optimization problems. The wind turbine blade optimization method presented in this paper provides a new and general algorithm for the multi-objective optimization of wind turbines. |
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| Keywords: | wind turbine multi-objective optimization Pareto-optimal solution nondominated sorting genetic algorithm (NSGA)-Ⅱ |
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