3 MW风力机叶片振动特性分析

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英文篇名：Vibration analysis of 3 MW wind turbine blade 作者：单丽君 ; 柳敬元 英文作者：Shan Lijun;Liu Jingyuan;School of Mechanical Engineering, Dalian Jiaotong University; 关键词：风力机 ; 叶片 ; 模态 ; 优化设计 ; 遗传算法 英文关键词：wind turbine;;blade;;modal;;optimization design;;genetic algorithm 中文刊名：NCNY 英文刊名：Renewable Energy Resources 机构：大连交通大学机械工程学院; 出版日期：2019-07-20 出版单位：可再生能源 年：2019 期：v.37;No.251 语种：中文; 页：NCNY201907020 页数：6 CN：07 ISSN：21-1469/TK 分类号：123-128

摘要

为防止叶片发生共振、减少叶片挠度、提高风力机发电效率以及风能利用率,文章建立了3 MW风力机叶片模型,分析了风力机叶片的固有频率。当激励频率为1.26 Hz时,叶片发生共振。以年发电量和风能利用率为目标函数,采用多目标遗传算法对3 MW风力机叶片进行优化设计。优化后的叶片发电功率提高了12%左右,风能利用率提高了18%左右;叶片的固有频率明显提高,挠度减少,解决了风力机叶片共振的问题。
        In order to prevent blade resonance, reduce blade deflection, improve wind turbine power generation efficiency and wind energy utilization rate, the blade model of 3 MW wind turbine is established, and the natural frequency of wind turbine blade is analyzed. When the excitation frequency is 1.26 Hz, the blade resonance occurs. Taking the annual power generation and wind energy utilization as objective functions and the multi-objective genetic algorithm is used to optimize the design of 3 MW wind turbine blades. The results show that the optimized blade power is increased by about 12%, the wind energy utilization rate is increased by about18%, the natural frequency of the blade is obviously increased, the deflection is reduced, and the problem of blade resonance is solved.

引文

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