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基于片条理论和遗传算法的风力机叶片全局优化设计
引用本文:傅洁,何斌,张慧玲,范钦珊.基于片条理论和遗传算法的风力机叶片全局优化设计[J].中南大学学报(自然科学版),2012,43(8):3025-3030.
作者姓名:傅洁  何斌  张慧玲  范钦珊
作者单位:1. 南京工业大学力学部,江苏南京,210009
2. 南京工业大学力学部,江苏南京,210009;清华大学航天航空学院,北京,100084
基金项目:江苏省高校研究生科研创新计划项目
摘    要:针对水平轴风力机叶片Wilson优化设计法的不足,以片条理论为基础、全年发电量为目标函数对叶片进行全局优化设计。通过遗传算法对设计约束进行最优化搜索,并根据该方法设计在平均风速为7.5 m/s风场下工作的1.5 MW叶片。为保证功率计算的准确性,通过XFOIL和CFD软件计算翼型0o~360o攻角下气动性能,将其设计结果与Wilson法进行比较。研究结果表明:全局优化设计方法能够满足叶片设计要求,设计的叶片在低于额定风速的低风速区性能良好,在平均风速附近(7~9 m/s)的功率系数达0.44。

关 键 词:片条理论  遗传算法  威尔逊法  XFOIL软件  优化设计

Optimal design of horizontal-axis wind turbines blade based on strip theory and genetic algorithms
FU Jie , HE Bin , ZHANG Hui-ling , FAN Qin-shan.Optimal design of horizontal-axis wind turbines blade based on strip theory and genetic algorithms[J].Journal of Central South University:Science and Technology,2012,43(8):3025-3030.
Authors:FU Jie  HE Bin  ZHANG Hui-ling  FAN Qin-shan
Institution:1,2 (1.Division of Mechanics,Nanjing University of Technology,Nanjing 210009,China; 2.School of Aerospace,Tsinghua University,Beijing 100084,China)
Abstract:Based on strip theory and genetic algorithms and taking annual generated electrical energy as target,an optimization method for blade design of horizontal-axis wind turbines(HAWT) was designed to improve Wilson method.As an effective optimization tool,genetic algorithm accomplishes the designed goal very well.A blade worked at 7.5m/s mean wind speed for 1.5 MW wind turbine was designed.In order to ensure the accuracy of power calculation,the aerodynamic performances of XFOIL at angle of attack from 0° to 360° were computed by XFOIL and CFD software.The results show that the method satisfies the design requirement and has a good performance at wind speed of 7?9 m/s.The maximum power coefficient of the 1.5 MW wind turbine blade design with this method reaches 0.44,which is close to that of Wilson blade.
Keywords:strip theory  genetic algorithms  Wilson method  XFOIL software  optimal design
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