• CN:11-2187/TH
  • ISSN:0577-6686

›› 2012, Vol. 48 ›› Issue (6): 130-135.

• 论文 • 上一篇    下一篇

风力机叶轮质量不平衡故障建模及仿真研究

杨涛;任永;刘霞;黄树红;高伟   

  1. 广东电网公司电力科学研究院;华中科技大学能源与动力工程学院
  • 发布日期:2012-03-20

Research on the Modeling and Simulation of Wind Turbine Rotor Imbalance Fault

YANG Tao;REN Yong;LIU Xia;HUANG Shuhong;GAO Wei   

  1. Electric Power Science Research Institute, Guangdong Power Grid Corporation School of Energy and Power Engineering, Huazhong University of Science & Technology
  • Published:2012-03-20

摘要: 风力机叶轮质量不平衡故障对风力发电机组的安全稳定运行影响很大,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,成本较高同时可靠性也较差。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试验研究,但未对该诊断方法进行理论上解释。在对该故障机理进行简要阐述后,在理论上推导该故障对风力机电功率造成的影响,利用Simulink建立在该故障状态下包含叶轮、传动链与发电机的风力机模型,仿真得到该故障条件下的电功率信号,频谱分析的结果显示其包含叶轮旋转的一倍频分量,且随着不平衡质量的增大而增大,与德国ISET研究所等试验研究的结果相符,仿真的结果从定量的角度表现该故障的严重程度,该方法可应用到故障诊断系统中用以确定不平衡质量的大小。

关键词: 风力机, 故障建模, 故障诊断, 质量不平衡

Abstract: The rotor mass imbalance has a big effect on the safe and stable operation of the wind turbine generators, the traditional diagnosis technologies which are based on the vibration monitoring require a large number of sensors mounting on wind turbines, it costs a lot and the reliability is also poor. The experiment researches have been made using the diagnosis technologies based on the electrical signals in recent years, but it has not provide theory understanding for the diagnosis technologies. Based on the description of the mechanism of the fault, then in theory, derive the impact of the fault on the generator power, finally establish the simulink model under the fault which contains the rotor model, the drive train model and the generator model, and obtained the generator power signal which has detected the 1st frequency of the rotor under the fault, with the imbalance increases, the amplitude of 1st frequency increases too, it’s consistent with the experiment results of the ISET, the simulation results reveal the severity of the fault qualitatively, this method can be applied to the fault diagnosis system to determine the size of the imbalance mass.

Key words: Fault diagnosis, Fault modeling, Mass imbalance, Wind turbines

中图分类号: