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风力机气动力不对称故障建模与仿真
引用本文:冯永新,杨涛,任永,黄树红,高伟,陈刚.风力机气动力不对称故障建模与仿真[J].振动.测试与诊断,2014,34(5):890-897.
作者姓名:冯永新  杨涛  任永  黄树红  高伟  陈刚
作者单位:(1. 广州,广东电网公司电力科学研究院510080)(2. 武汉,华中科技大学能源与动力工程学院430074)
基金项目:国家自然科学基金资助项目(51105151)
摘    要:风力机气动力不对称故障对风力发电机组的安全稳定运行有很大的影响,传统的基于振动的故障诊断方法需要在风力机上安装大量的传感器,成本较高,可靠性也较差。近年来,已有学者采用基于电信号的故障诊断方法对该故障进行了实验研究,但未对该诊断方法进行理论上解释。笔者研究了气动力不对称故障下的风力机的塔架振动和气动力的耦合规律,阐述了造成电功率波动的机理,指出电功率的波动来源于塔架的振动,建立了整个风力机组故障状态下的模型,仿真得到了故障条件下的塔架振动信号与电功率信号,对仿真得到的振动信号与电信号进行信号处理。结果显示其中均出现了叶轮旋转的一倍频分量,与德国ISET等实验研究的结果相符,对开发新的故障诊断算法具有重要意义。

关 键 词:风力机    气动力不对称    故障建模    电功率信号

Research on the Modeling and Simulation of Wind Turbine Rotor Aerodynamic Asymmetry Fault
Feng Yongxin,Yang Tao,Ren Yong,Huang Shuhong,Gao Wei,Chen Gang.Research on the Modeling and Simulation of Wind Turbine Rotor Aerodynamic Asymmetry Fault[J].Journal of Vibration,Measurement & Diagnosis,2014,34(5):890-897.
Authors:Feng Yongxin  Yang Tao  Ren Yong  Huang Shuhong  Gao Wei  Chen Gang
Abstract:The aerodynamic asymmetrical fault plays an important role in the safe and stable operation of wind turbines. Traditional diagnosis technologies based on vibration monitoring require a large number of sensors mounted on wind turbines, resulting in high costs and poor reliability. In recent years, experiments have used diagnosis technologies based on the electrical signals, but cannot provide theoretical understanding of the diagnosis technologies. In recent years, experiments have been conducted using diagnosis technologies based on electrical signals, but they cannot provide theory for understanding the diagnosis technologies.This paper studies wind turbine tower vibration and the aerodynamic coupling rule under aerodynamic asymmetry. Then, the electric power fluctuation reasons are elaborated to the vibration of the tower. Finally, the wind turbine model is established under the fault to obtain the tower vibration signal and generator power signal, which have detected the first frequency of the rotor under the fault.The simulation results are consistent with the experimental results.
Keywords:wind turbine  aerodynamic asymmetry  fault modeling  generator power signal
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