Abstract: A method for mitigating loads acting on a rotor blade of a wind turbine includes receiving a plurality of loading signals and determining at least one load acting on the rotor blade based on the loading signals. Further, the method includes determining a type of the load(s) acting on the rotor blade. Moreover, the method includes comparing the load(s) to a loading threshold, such as an extreme loading threshold. In addition, the method includes implementing a control scheme when the load(s) exceeds the loading threshold. More specifically, the control scheme includes providing a first pitching mode for reducing a first type of load, providing a different, second pitching mode for reducing a different, second type of load, and coordinating the first and second pitching modes based on the type of the at least one load to mitigate the loads acting on the rotor blade.

Abstract: A method for reducing extreme loads acting on a component of a wind turbine includes measuring, via one or more sensors, a plurality of operating parameters of the wind turbine. Further, the method includes predicting at least one blade moment of at least one rotor blade of the wind turbine based on the plurality of operating parameters. The method also includes predicting a load and an associated load angle of the at least one rotor blade as a function of the at least one blade moment. Moreover, the method includes predicting a pitch angle of the at least one rotor blade of the wind turbine. In addition, the method includes generating a load envelope for the component that comprises at least one load value for the pitch angle and the load angle. Thus, the method includes implementing a control action when the load is outside of the load envelope.

Abstract: A method for mitigating loads acting on a rotor blade of a wind turbine includes receiving a plurality of loading signals and determining at least one load acting on the rotor blade based on the loading signals. Further, the method includes determining a type of the load(s) acting on the rotor blade. Moreover, the method includes comparing the load(s) to a loading threshold, such as an extreme loading threshold. In addition, the method includes implementing a control scheme when the load(s) exceeds the loading threshold. More specifically, the control scheme includes providing a first pitching mode for reducing a first type of load, providing a different, second pitching mode for reducing a different, second type of load, and coordinating the first and second pitching modes based on the type of the at least one load to mitigate the loads acting on the rotor blade.

Abstract: A method for reducing extreme loads acting on a component of a wind turbine includes measuring, via one or more sensors, a plurality of operating parameters of the wind turbine. Further, the method includes predicting at least one blade moment of at least one rotor blade of the wind turbine based on the plurality of operating parameters. The method also includes predicting a load and an associated load angle of the at least one rotor blade as a function of the at least one blade moment. Moreover, the method includes predicting a pitch angle of the at least one rotor blade of the wind turbine. In addition, the method includes generating a load envelope for the component that comprises at least one load value for the pitch angle and the load angle. Thus, the method includes implementing a control action when the load is outside of the load envelope.

Abstract: A method for mitigating loads acting on a rotor blade of a wind turbine includes determining, via a state estimator of a controller, a blade state estimation of the rotor blade. The method also includes reconstructing, via the controller, one or more loading signals of the rotor blade from the blade state estimation using modal analysis such that the loading signal(s) include a lead time. Further, the method includes comparing the loading signal(s) of the rotor blade to a loading threshold. Moreover, the method includes implementing a control action based on the comparison such that the lead time provided by the loading signal(s) allows the control action to take effect before a damaging load occurs on the rotor blade.

Abstract: Systems and methods for planning a wind farm are provided. One example aspect of the present disclosure is directed to a method for planning a wind farm. The method includes determining, by one or more processors, a load for a plurality of wind conditions for a plurality of circumferential sections for a tower of a wind turbine. The method includes accessing, by the one or more processors, a model that predicts wind conditions over a time period. The method includes determining, by the one or more processors, a load sustainment parameter for the plurality of circumferential sections for the predicted wind conditions over the time period.

Abstract: A system and method for protecting a wind turbine from extreme wind gusts includes monitoring a wind speed and a wind direction at the wind turbine. The method also includes determining a wind gust threshold, wherein wind speeds and wind directions exceeding the wind gust threshold, respectively, are indicative of an extreme wind gust occurring at the wind turbine. In addition, the method includes comparing, via a controller, the monitored wind speed or a function thereof and the wind direction or function thereof to the wind gust threshold, respectively. Thus, the method includes implementing, via a controller, a corrective action when the monitored wind speed and the monitored wind direction exceed the wind gust threshold, respectively.

Abstract: A system and method for protecting a wind turbine from extreme wind gusts includes monitoring a wind speed and a wind direction at the wind turbine. The method also includes determining a wind gust threshold, wherein wind speeds and wind directions exceeding the wind gust threshold, respectively, are indicative of an extreme wind gust occurring at the wind turbine. In addition, the method includes comparing, via a controller, the monitored wind speed or a function thereof and the wind direction or function thereof to the wind gust threshold, respectively. Thus, the method includes implementing, via a controller, a corrective action when the monitored wind speed and the monitored wind direction exceed the wind gust threshold, respectively.

Abstract: The present disclosure is directed to a method for controlling a wind turbine having a rotor with a plurality of rotor blades mounted thereto based on a spatial wind speed distribution. The method includes monitoring, via at least one sensor, one or more operating conditions of the wind turbine. The method also includes determining a rotor azimuth angle of the wind turbine. In addition, the method includes determining, via a physics-based model, at least one individual wind speed for one or more of the rotor blades of the wind turbine based on the one or more operating conditions and the rotor azimuth angle. The method also includes determining a spatial wind speed distribution of the wind turbine based on the at least one individual wind speed. Thus, the method further includes controlling the wind turbine based on the spatial wind speed distribution.

Abstract: Systems and methods for planning a wind farm are provided. One example aspect of the present disclosure is directed to a method for planning a wind farm. The method includes determining, by one or more processors, a load for a plurality of wind conditions for a plurality of circumferential sections for a tower of a wind turbine. The method includes accessing, by the one or more processors, a model that predicts wind conditions over a time period. The method includes determining, by the one or more processors, a load sustainment parameter for the plurality of circumferential sections for the predicted wind conditions over the time period.

Abstract: The present disclosure is directed to a method for controlling a wind turbine having a rotor with a plurality of rotor blades mounted thereto based on a spatial wind speed distribution. The method includes monitoring, via at least one sensor, one or more operating conditions of the wind turbine. The method also includes determining a rotor azimuth angle of the wind turbine. In addition, the method includes determining, via a physics-based model, at least one individual wind speed for one or more of the rotor blades of the wind turbine based on the one or more operating conditions and the rotor azimuth angle. The method also includes determining a spatial wind speed distribution of the wind turbine based on the at least one individual wind speed. Thus, the method further includes controlling the wind turbine based on the spatial wind speed distribution.