Fault detection and fault tolerance method for measurement and control system of wind turbine generator
A technology of wind turbines and measurement and control systems, which is applied in the control of wind turbines, monitoring of wind turbines, and wind power generation, and can solve problems such as difficulty in detection thresholds, uncertainty, insensitivity to test noise, and high prices.
Inactive Publication Date: 2021-04-20
CHONGQING UNIV
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Problems solved by technology
The Kalman filter is usually used to detect whether the system is normal, but it is extremely difficult for the residual signal and detection threshold that are insensitive to uncertainty and test noise but very sensitive to fault information
The most commonly used fault tolerance method is to use hardware redundancy to tolerate faults, but the fault tolerance method of hardware redundancy has disadvantages such as expensive
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[0013] The specific implementation of fault detection using the method based on set-valued observation is as follows: figure 1 As shown in the figure, the wind turbine measurement and control system model under the factors of noise, disturbance and parameter uncertainty is established, and the noise, disturbance and parameter uncertainty are delimited. A set-valued observer for the normal operation state of the wind turbine is designed, and its input and output states are used as the input and output variables of the observer. Through time update and measurement update, the approximate feasible set of state estimation in the sampling period is obtained. If the approximate feasible set is detected as empty If set, it is determined that the system is faulty, and the fault detection information is output at the same time; otherwise, it is determined that the system has no fault.
[0014] On this basis, the specific process of fault isolation using the method based on set-valued o...
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The invention relates to a fault detection and fault tolerance method for a measurement and control system of a wind turbine generator. The method is suitable for early fault detection and fault tolerance of the measurement and control system of the wind turbine generator and is favorable for improving the usability and reliability of the wind turbine generator. The problems of nonlinearity, test errors, disturbance randomness, model errors and the like of a wind power measurement and control system are taken as entry points, linear time-varying parameter model description is carried out on the wind power measurement and control system, fault detection and isolation are carried out by adopting a set value observation method, and fault-tolerant processing is carried out by using a virtual sensor and an actuator. The reliability of the measurement and control system of the wind turbine generator can be enhanced, and the usability of the system is improved.
Description
technical field [0001] The invention relates to a method for fault detection and fault tolerance of a wind power generation monitoring and control system, which is suitable for early fault detection and fault tolerance of the wind power measurement and control system, and is beneficial to improving the availability and reliability of the wind power generator. Background technique [0002] Perform fault detection and fault tolerance on the wind power measurement and control system, reduce wind turbine faults from the source, avoid the occurrence of major accidents in the wind power system and the expansion of early faults; early faults in the wind power system are solved by fault-tolerant control, which will greatly improve the availability of wind turbines . Kalman filter is usually used to detect whether the system is normal, but it is very difficult to detect residual signals and detection thresholds that are not sensitive to uncertainty and test noise but are very sensiti...
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IPC IPC(8): F03D17/00F03D7/00
CPCY02E10/72
Inventor 柏林刘小峰罗宏林
Owner CHONGQING UNIV