基于三维曲面的抽水蓄能电站机组故障预警模型

Early Fault Warning Model of Pumped-storage Power Station Unit Based on Three-dimensional Surface

深入分析了影响抽水蓄能机组运行状态的有功功率、工作水头等关键因素,确定了机组的健康标准状态,提出了综合考虑有功功率、工作水头作用,能够自适应抽水蓄能机组工况变化的故障动态预警模型。实例分析表明,该模型可以实现抽水蓄能机组的在线安全评估,能及时准确地预警出机组异常(故障),有很好的实用性。

Some key factors which can affect the operation of pumped-storage power unit, such as active power and working head, are analyzed for identifying the health standard of unit, and a dynamic fault warning model which can automatically adapted the changes of unit＇s operation conditions is presented after considering the combination of active power and working head. The case study shows that the model can achieve the online security assess of pumped-storage unit and detect the abnormity or fault of unit timely and accurately. The model is practical.