Determining an action to allow resumption wind turbine operation after a stoppage

A controller for a wind turbine, comprising:

• an I/O interface configured for communicative coupling with the wind turbine;
• and
• one or more processors configured to:
• receive alarm state data indicating that the wind turbine has entered an alarm state in which operation of the wind turbine has stopped;
• receive sensor data from a plurality of sensors of the wind turbine indicative of operating conditions associated with the wind turbine;
• execute a trained machine learning model based on the received sensor data and the alarm state data to obtain an output, wherein the trained machine learning model is trained on historical data associated with a plurality of wind turbines, and wherein the historical data includes data related to the plurality of wind turbines previously being in the alarm state;
• based on the obtained output, performing an action to allow the wind turbine to resume operation, wherein the action comprises adjusting a pitch angle of rotor blades for the wind turbine or adjusting a speed of a generator in a nacelle of the wind turbine;
• monitoring one or more parameters indicative of wind turbine operation after the action has been performed to determine a result indicating whether the alarm state has been resolved, wherein the result indicates an error state will reoccur within a defined period after the action has been performed, and wherein the result indicates a time until the error state reoccurs;
• in response to determining the alarm state has not been resolved, providing a further action to be performed to allow the wind turbine to resume operation, wherein the further action is determined based on the performed action that did not resolve the alarm state;
• and
• in response to performing the further action, resume operation of the wind turbine.

A wind turbine, comprising:

• a tower;
• a nacelle disposed on the tower;
• a rotor extending from the tower and having a plurality of blades disposed on a distal end thereof;
• and
• a controller configured to perform an operation, comprising:
• receive alarm state data indicating that the wind turbine has entered an alarm state in which operation of the wind turbine has stopped;
• receive sensor data from a plurality of sensors of the wind turbine indicative of operating conditions associated with the wind turbine;
• execute a trained machine learning model based on the received sensor data and the alarm state data to obtain an output, wherein the trained machine learning model is trained on historical data associated with a plurality of wind turbines, and wherein the historical data includes data related to the plurality of wind turbines previously being in the alarm state;
• based on the obtained output, performing an action to allow the wind turbine to resume operation, wherein the action comprises adjusting a pitch angle of the plurality of blades for the wind turbine or adjusting a speed of a generator in the nacelle;
• monitoring one or more parameters indicative of wind turbine operation after the action has been performed to determine a result indicating whether the alarm state has been resolved, wherein the result indicates an error state will reoccur within a defined period after the action has been performed, and wherein the result indicates a time until the error state reoccurs;
• in response to determining the alarm state has not been resolved, providing a further action to be performed to allow the wind turbine to resume operation, wherein the further action is determined based on the performed action that did not resolve the alarm state;
• and
• in response to performing the further action, resume operation of the wind turbine.