The present invention relates to a method and apparatus for controlling a wind turbine. The method includes: dividing a plurality of wind turbines into at least one group based on a similarity in status information of the plurality of wind turbines; in response to having detected a fault in a first wind turbine of the plurality of wind turbines, searching a group to which the first wind turbine belongs for a second wind turbine matching status information of the first wind turbine; and controlling the first wind turbine based on parameters from the second wind turbine.

The present invention relates to a method and apparatus for controlling a wind turbine. The method includes: dividing a plurality of wind turbines into at least one group based on a similarity in status information of the plurality of wind turbines; in response to having detected a fault in a first wind turbine of the plurality of wind turbines, searching a group to which the first wind turbine belongs for a second wind turbine matching status information of the first wind turbine; and controlling the first wind turbine based on parameters from the second wind turbine.

A system for fault monitoring a wind turbine is provided. The system includes: (a) a first monitoring device adapted to provide a first monitoring signal, (b) a second monitoring device adapted to provide a second monitoring signal, (c) a third monitoring device adapted to provide a third monitoring signal, and (d) output logic adapted to generate a monitoring output signal indicating that a fault has occurred if at least two of the first monitoring signal, the second monitoring signal, and the third monitoring signal indicate that a fault has occurred. Furthermore, a wind turbine and a method of fault monitoring a wind turbine are described.

The present invention relates to a method of operating a wind turbine with an operational parameter where values of the operational parameter are obtained by different sensors and compared to determine the validity of the value. A first value and a second value of the operational parameter are obtained different sensors and validated by comparing the two values. The wind turbine being operated using a validated value as the operational parameter. The two sensors are selected among a trained machine learning model, a reference sensor and a computerized physical model.

The present invention relates to a method and apparatus for controlling a wind turbine. The method includes: dividing a plurality of wind turbines into at least one group based on a similarity in status information of the plurality of wind turbines; in response to having detected a fault in a first wind turbine of the plurality of wind turbines, searching a group to which the first wind turbine belongs for a second wind turbine matching status information of the first wind turbine; and controlling the first wind turbine based on parameters from the second wind turbine.

A method for testing capacity of at least one energy storage device of a pitch drive mechanism to drive a first rotor blade of a wind turbine connected to a power grid includes defining a rotor position range for implementing a first test procedure for the energy storage device(s). Further, the method includes monitoring a rotor position of the first rotor blade. When the rotor position of the first rotor blade enters the rotor position range, the method includes initiating the first test procedure. The first test procedure includes pitching the first rotor blade via the energy storage device(s), measuring at least one operating condition of the energy storage device(s) during pitching, and determining a capacity of the energy storage device(s) to drive the first rotor blade based on the operating condition(s) thereof.

Monitoring and assessing power performance changes of one or more wind turbines of a wind farm. For each wind turbine to be monitored, a group of reference wind turbines is defined. During a training period a transfer function is generated for each monitored wind turbine. The transfer function establishes a relationship between locally measured wind speeds at each of the reference wind turbines and the power performance data for the monitored wind turbine obtained during the training period. During one or more subsequent test periods, measured power performance data for the monitored wind turbines is compared to predicted power performance data. The predicted power performance data is obtained by means of the locally measured wind speeds at the corresponding reference wind turbines during the test period(s) and the previously generated transfer function for the monitored wind turbine. This allows even small and/or gradual power performance degradation to be detected.

A gas turbine engine for an aircraft comprises a high-pressure (HP) spool comprising an HP compressor and a first electric machine driven by an HP turbine, the first electric machine having a first maximum output power; a low-pressure (LP) spool comprising an LP compressor and a second electric machine driven by an LP turbine, the second electric machine having a second maximum output power; a combustion system comprising a fuel metering unit; and an engine controller configured to identify a condition to the effect that the engine is in a maximum take-off mode of operation or a maximum climb mode of operation, and, in response to an electrical power demand being between zero and the second maximum output power, only extracting electrical power from the second electric machine to meet the electrical power demand.

The disclosure provides a wind turbine generator and a control method thereof. The wind turbine generator comprises at least two power transmission systems connected each other in parallel and a control system comprising an upper controller and control subsystems corresponding to the power transmission systems and comprising bottom controllers. The bottom controllers monitor operating state parameters of functional units in corresponding power transmission systems, and when determining corresponding functional units meet abnormal conditions according to operating state parameters, send operating state parameters of corresponding functional units to the upper controller; the upper controller generates operating instructions when determining faults of the corresponding functional units occur according to operating state parameters of corresponding functional units, to control power transmission systems to work according to operation instructions. The wind turbine generator is fully used, and the energy production thereof is further increased.

A method for monitoring and assessing power performance changes of one or more wind turbines of a wind farm, the method comprising the steps of: for each wind turbine to be monitored, defining a group of reference wind turbines, the group of reference wind turbines comprising two or more wind turbines, operating the wind turbines of the wind farm, while obtaining locally measured wind speeds at each of the wind turbines, during a training period, obtaining the power performance data in relation to the locally measured wind speed for each of the monitored wind turbines, during the training period, for each of the monitored wind turbines, generating a wind speed transfer function establishing a relationship between the locally measured wind speeds at each of the reference wind turbines and the locally measured wind speed at the monitored wind turbine, operating the wind turbines of the wind farm, while obtaining locally measured wind speeds, at least at the reference wind turbines during one or more test periods following the training period, estimate the wind speed for the monitored wind turbines during the test periods based on the measured wind speeds at the reference wind turbines, and the transfer function generated during the training period for the monitored wind turbine, obtain, power performance data for each of the monitored wind turbines in relation to the estimated wind speed, asses power performance by comparing the power performance data obtained during the test periods with the power performance data obtained during the training period.