Research on Generator Torque Fault Determination of Wind Turbines Based on Digital Twin

With the rapid development of the wind power, the operation and maintenance of wind turbines have become increasingly important, and the detection and determination of equipment faults is a critical step. This paper proposes a fault determination scheme for wind turbines by using a digital twin framework, mainly targeting the generator torque bias fault. Under the framework of digital twins, this paper constructs and linearizes a twin model of the wind turbine. On this basis, a state observer of generator torque and an estimator based on measurement data are designed. The observed and estimated values are used to cross-determine the generator torque, checking for biases. Experimental results show that the scheme can achieve real-time estimation of generator torque bias and can prevent false alarms.