基于多目标遗传算法的海上铰接式风力机塔架结构参数优化

章培; 唐友刚; 李焱; 王永洪; 黄竹; 刘汇海

doi:10.19912/j.0254-0096.tynxb.2022-0630

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太阳能学报 ›› 2023, Vol. 44 ›› Issue (8) : 460-466. DOI: 10.19912/j.0254-0096.tynxb.2022-0630

基于多目标遗传算法的海上铰接式风力机塔架结构参数优化

章培^1~3, 唐友刚^1~3, 李焱^1~3, 王永洪⁴, 黄竹^1~3, 刘汇海^1~3

作者信息 +

TOWER STRUCTURE PARAMETER OPTIMIZATION OF OFFSHORE ARTICULATED WIND TURBINE BASED ON MUTI-OBJECTIVE GENETIC ALGORITHM

Zhang Pei^1~3, Tang Yougang^1~3, Li Yan^1~3, Wang Yonghong⁴, Huang Zhu^1~3, Liu Huihai^1~3

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摘要

针对海上铰接式基础风力机的塔架结构,通过分析其复杂环境下的力学性能及结构间耦合作用关系,构建塔架多目标优化数学模型,采用一种基于空间参考点的非支配排序多目标遗传算法对塔架结构参数进行优化设计研究,基于所得到的Pareto解建立模糊评价指标并开展优化参数的敏感性分析,得到满足不同优化指标下的最优解方案。计算结果表明：额定风速海况下,塔架结构最大等效应力、塔顶位移及屈曲安全系数均满足安全作业许可,同时相比于NREL 5 MW原型塔架结构,塔架质量减轻了13.41%,有效减小了建造成本;等效应力也大幅减小13.79%,塔顶位移增加了3.36%,但仍远小于安全偏移量,满足设计需求;塔架屈曲安全系数为0.05远小于1,满足屈曲稳定性要求;同时塔架弯曲振动的固有频率不在叶片风轮旋转的1P和3P范围内,避免与结构发生共振,基于多目标优化所设计的塔架结构无论是结构性能还是制作成本都得到显著改善。

Abstract

For the tower structure of an offshore articulated wind turbine, a multi-objective optimization mathematical model is established by analyzing its mechanical properties and coupling relationship between structures under complex environment. Meanwhile, a non-dominated sorting multi-objective genetic algorithm based on spatial reference points is used to optimize dimensions of tower parameters. Then some fuzzy evaluation indexes are proposed and the sensitivity analysis of optimization parameters is also carried out according to Pareto solutions to obtain the optimal solution scheme. The calculation results show that the maximum equivalent stress, top displacement and buckling safety factor of the tower meet the safety operation permit under the rated wind speed sea state. And compared with the NREL 5 MW prototype tower structure, the overall mass decreases by 13.41%, the equivalent stress decreases by 13.79%. However, the maximum displacement of tower top increases by 3.36%, it is still far less than the safety offset which meets the design requirements. The buckling safety factor of the tower is 0.05, which is far less than 1 and meets the buckling stability requirements. At the same time, the natural frequency of tower bending vibration is not in the range of 1P and 3P of blade wind wheel rotation, which can avoid the occurrence of structural resonance. The tower structure design based on multi-objective optimization has been significantly improved both in structural performance and production cost.

导出引用

章培, 唐友刚, 李焱, 王永洪, 黄竹, 刘汇海. 基于多目标遗传算法的海上铰接式风力机塔架结构参数优化[J]. 太阳能学报. 2023, 44(8): 460-466 https://doi.org/10.19912/j.0254-0096.tynxb.2022-0630

Zhang Pei, Tang Yougang, Li Yan, Wang Yonghong, Huang Zhu, Liu Huihai. TOWER STRUCTURE PARAMETER OPTIMIZATION OF OFFSHORE ARTICULATED WIND TURBINE BASED ON MUTI-OBJECTIVE GENETIC ALGORITHM[J]. Acta Energiae Solaris Sinica. 2023, 44(8): 460-466 https://doi.org/10.19912/j.0254-0096.tynxb.2022-0630

中图分类号： TK83

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