A method and associated system are provided for determining a yaw heading (θ.sub.heading) of a wind turbine, the wind turbine having a tower and a nacelle that includes a machine head and rotor at a top thereof. The method includes configuring a single rover receiver of a global navigation satellite system (GNSS) at a fixed position relative to the nacelle. A GNSS geographic location of a tower top pivot point (TPP) of the wind turbine is determined, as well as an angular offset of the rover receiver (β.sub.rover) relative to a centerline axis of the nacelle. Based on the GNSS geo-location of the TPP and a GNSS geo-location of the rover receiver, an angular vector () relative to North of a line between the TPP and the rover receiver is determined. The yaw heading (θ.sub.heading) is computed from a difference between the angle () and the angular offset (β.sub.rover) of the rover receiver.

A method and associated system are provided for determining a yaw heading (θ.sub.heading) of a wind turbine, the wind turbine having a tower and a nacelle that includes a machine head and rotor at a top thereof. The method includes configuring a single rover receiver of a global navigation satellite system (GNSS) at a fixed position relative to the nacelle. A GNSS geographic location of a tower top pivot point (TPP) of the wind turbine is determined, as well as an angular offset of the rover receiver (β.sub.rover) relative to a centerline axis of the nacelle. Based on the GNSS geo-location of the TPP and a GNSS geo-location of the rover receiver, an angular vector () relative to North of a line between the TPP and the rover receiver is determined. The yaw heading (θ.sub.heading) is computed from a difference between the angle () and the angular offset (β.sub.rover) of the rover receiver.

The disclosure includes a method of diagnosing a grounding system of a structure that includes a charge collecting structure conductively connected to the ground via a grounding path, where diagnosing involves an act of monitoring output of a voltage and/or a current and/or an electrostatic detector connected to the grounding path.

The disclosure includes a method of diagnosing a grounding system of a structure that includes a charge collecting structure conductively connected to the ground via a grounding path, where diagnosing involves an act of monitoring output of a voltage and/or a current and/or an electrostatic detector connected to the grounding path.

Embodiments according to the invention describe a method for monitoring the state of the powertrain or tower of a wind turbine (10), said method having the steps of: detecting data of a state monitoring system which is provided for a structure of the wind turbine (10), said structure being mechanically coupled to the powertrain or tower; processing the detected data of the state monitoring system which is provided for the structure of the wind turbine (10), said structure being mechanically coupled to the powertrain or tower; and determining the state of the powertrain or tower from the processed data of the state monitoring system which is provided for the structure of the wind turbine (10), said structure being mechanically coupled to the powertrain or tower.

Embodiments according to the invention describe a method for monitoring the state of the powertrain or tower of a wind turbine (10), said method having the steps of: detecting data of a state monitoring system which is provided for a structure of the wind turbine (10), said structure being mechanically coupled to the powertrain or tower; processing the detected data of the state monitoring system which is provided for the structure of the wind turbine (10), said structure being mechanically coupled to the powertrain or tower; and determining the state of the powertrain or tower from the processed data of the state monitoring system which is provided for the structure of the wind turbine (10), said structure being mechanically coupled to the powertrain or tower.

An optimal dispatching method and system for a wind power generation and energy storage combined system are provided. Uncertainty of a wind turbine output is characterized based on spatio-temporal coupling of the wind turbine output and an interval uncertainty set. Compared with a traditional symmetric interval uncertainty set, the uncertainty set that considers spatio-temporal effects effectively excludes some extreme scenarios with a very small probability of occurrence and reduces conservativeness of a model. A two-stage robust optimal dispatching model for the wind power generation and energy storage combined system is constructed, and a linearization technology and a nested column-and-constraint generation (C&CG) strategy are used to efficiently solve the model.

An optimal dispatching method and system for a wind power generation and energy storage combined system are provided. Uncertainty of a wind turbine output is characterized based on spatio-temporal coupling of the wind turbine output and an interval uncertainty set. Compared with a traditional symmetric interval uncertainty set, the uncertainty set that considers spatio-temporal effects effectively excludes some extreme scenarios with a very small probability of occurrence and reduces conservativeness of a model. A two-stage robust optimal dispatching model for the wind power generation and energy storage combined system is constructed, and a linearization technology and a nested column-and-constraint generation (C&CG) strategy are used to efficiently solve the model.

An automated system for mitigating risk from a wind turbine includes a plurality of optical imaging sensors. A controller receives and analyzes images from the optical imaging sensors to automatically send a signal to curtail operation of the wind turbine to a predetermined risk mitigating level when the controller determines from images received from the optical imaging sensors that an airborne animal is at risk from the wind turbine.

An automated system for mitigating risk from a wind turbine includes a plurality of optical imaging sensors. A controller receives and analyzes images from the optical imaging sensors to automatically send a signal to curtail operation of the wind turbine to a predetermined risk mitigating level when the controller determines from images received from the optical imaging sensors that an airborne animal is at risk from the wind turbine.