中国机械工程 ›› 2013, Vol. 24 ›› Issue (16): 2150-2156.

• 机械基础工程 • 上一篇    下一篇

极端服役环境下的风电机组塔架结构参数优化研究

戴巨川1;刘旋1;杨书仪1;文泽军1;沈祥兵2   

  1. 1.湖南科技大学,湘潭,411201
    2.湘电风能有限公司,湘潭,411000
  • 出版日期:2013-08-25 发布日期:2013-08-23
  • 基金资助:
    国家自然科学基金资助项目(51205123);湖南省自然科学基金资助项目(11JJ8002);湖南省科技计划资助项目(2012FJ4270) 
    National Natural Science Foundation of China(No. 51205123);
    Hunan Provincial Natural Science Foundation of China(No. 11JJ8002);
    Hunan Provincial Science and Technology program ( No. 2012FJ4270)

Research on Wind Turbine Tower Structure Parameter Optimization in Extreme Service Environment

Dai Juchuan1;Liu Xuan1;Yang Shuyi1;Wen Zejun1;Shen Xiangbing2   

  1. 1.Hunan University of Science and Technology,Xiangtan,Hunan,411201
    2.Xiangtan Electric Manufacturing Corporation Ltd.,Xiangtan,Hunan,411000
  • Online:2013-08-25 Published:2013-08-23
  • Supported by:
     
    National Natural Science Foundation of China(No. 51205123);
    Hunan Provincial Natural Science Foundation of China(No. 11JJ8002);
    Hunan Provincial Science and Technology program ( No. 2012FJ4270)

摘要:

以大型风电机组塔架为对象,开展了极端服役环境下的塔架结构参数优化设计研究。采用壁厚分段式线性变化结构对塔架进行描述,介绍了基于BEM理论的风电机组气动载荷分析方法,运用有限元仿真分析塔架结构参数与极限载荷作用下的应力以及结构参数与固有频率的关联特性,采用支持向量机(SVM)方法分别构建了结构参数与应力、固有频率的快速计算模型。以质量最小为目标,强度、固有频率和边界条件为约束对塔架结构参数进行了设计优化,引入遗传算法(GA)进行优化求解。对某2MW风电机组塔架进行实例设计研究,结果表明优化后的塔架质量减小3.5%。

关键词: 风电机组塔架, 有限元分析, 结构参数优化, 支持向量机, 遗传算法

Abstract:

Structure parameter optimization of wind turbine tower in extreme service environment was carried out  herein.A segmented linear change structure
was employed to describe the tower
wall thickness,and the tower load analysis method was introduced based on blade element momentum(BEM) theory.The related characteristics of tower structure parameters and stress under extreme loads and that of
tower structure parameters and natural frequency were analyzed by using the finite element simulation method.
The SVM  method was used to build a rapid calculation model of tower structure
parameters and stress,and that of tower structure parameters and natural frequency.
Then,the minimum tower mass was selected to be as the optimization goal;the strength,natural frequency and the boundary conditions were selected to be as the constraint conditions;the GA was employed to be as the optimization algorithm.Based on the above proposed optimization method,a 2MW wind turbine tower was optimized and the optimization results show that the tower mass is reduced by 3.5% and the stress curve is smoother.

Key words: wind turbine tower, finite element analysis, structure parameter optimization, support vector machine(SVM), genetic algorithm(GA)

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