基于出力相关性的风电机组非正常运行状态及故障诊断

摘要

To reduce the influence of operation state and external environmental factors on the output of the wind turbine,the wind turbine output correlation information is used to determine the operating state of the wind turbine.The reliability of discriminating unhealthy state or fault state of the unit is improved without increasing the sensor and the measuring point.The correlation analysis and fuzzy fault Petri nets are combined to determine the operating performance of the wind turbine and diagnose the fault.The validity of the method is demonstrated by the calculation results of the wind field data.%为了解决风电机组运行状态及故障诊断中外界环境因素对出力情况的影响,引入风电机组出力相关性信息,对机组运行状态进行判别.实现了在不增加传感器和测点的情况下,提高判别机组非健康状态或故障状态的可靠性.将相关性分析与模糊故障Petri网相结合,以此判别风电机组的运行性能并诊断故障.采用风场实际数据的验算结果表明了该方法的有效性.