Abstract: Generating a control schedule for a wind turbine, the control schedule indicating how the turbine maximum power level varies over time. Generating the control schedule includes determining a value indicative of the current remaining fatigue lifetime of the turbine, or one or more turbine components, based on measured wind turbine site and/or operating data; applying an optimisation function that varies an initial control schedule to determine an optimised control schedule by varying the trade off between energy capture and fatigue life consumed by the turbine or the one or more turbine components until an optimised control schedule is determined.

Abstract: A control schedule for a wind turbine indicates how the turbine maximum power level varies over time. Generating the schedule includes determining a value indicative of the current remaining fatigue lifetime of the turbine, or one or more turbine components, based on measured wind turbine site and/or operating data; applying an optimisation function that varies an initial control schedule to determine an optimised control schedule by varying the trade-off between energy capture and fatigue life consumed by the turbine or the one or more turbine components until an optimised control schedule is determined.

Abstract: Aspects described herein include a method of generating a control schedule for a wind turbine. The control schedule specifies a maximum power level that varies over time. The method comprises determining a value indicative of a current remaining fatigue lifetime of the wind turbine or of one or more components. The method further comprises applying an optimization function to perform an optimization to determine an optimized control schedule. The optimization comprises varying a plurality of parameters of an initial control schedule to produce a varied control schedule, estimating a future fatigue lifetime to be consumed by the wind turbine or the one or more components over the duration of the varied control schedule, and constraining the optimization according to one or more input constraints.

Abstract: Generating a control schedule for a wind turbine, the control schedule indicating how the turbine maximum power level varies over time. Generating the control schedule includes determining a value indicative of the current remaining fatigue lifetime of the turbine, or one or more turbine components, based on measured wind turbine site and/or operating data; applying an optimisation function that varies an initial control schedule to determine an optimised control schedule by varying the trade off between energy capture and fatigue life consumed by the turbine or the one or more turbine components until an optimised control schedule is determined.

Abstract: Generating a control schedule for a wind turbine, the control schedule indicating how the turbine maximum power level varies over time. Generating the control schedule includes determining a value indicative of the current remaining fatigue lifetime of the turbine, or one or more turbine components, based on measured wind turbine site and/or operating data; applying an optimisation function that varies an initial control schedule to determine an optimised control schedule by varying the trade off between energy capture and fatigue life consumed by the turbine or the one or more turbine components until an optimised control schedule is determined.

Abstract: Methods and Systems for Generating Wind Turbine Control Schedules A method of generating a control schedule for a wind turbine is provided, the control schedule indicating how the turbine maximum power level varies over time, the method comprising: determining a value indicative of the current remaining fatigue lifetime of the turbine, or one or more turbine components, based on measured wind turbine site and/or operating data; applying an optimisation function that varies an initial control schedule to determine an optimised control schedule by varying the trade off between energy capture and fatigue life consumed by the turbine or the one or more turbine components until an optimised control schedule is determined, the optimisation including: estimating future fatigue lifetime consumed by the turbine or turbine component over the duration of the varied control schedule based on the current remaining fatigue lifetime and the varied control schedule; and constraining the optimisation of the control schedule a

Abstract: A method is provided of controlling a wind turbine. The method comprises over-rating the wind turbine above the wind turbine's rated power in response to a control signal and applying an over-rating control algorithm that restricts the amount of additional power produced by over-rating the wind turbine, due to the control signal, based upon one or more turbine parameters. The method further comprises receiving an over-ride signal; and in response to the over-ride signal, over-riding the over-rating control algorithm to temporarily increase the amount of power output by the wind turbine for a period of time.

Abstract: A method of generating a control schedule for a wind turbine is provided, the control schedule indicating how the turbine maximum power level varies over time, the method comprising: determining a value indicative of the current remaining fatigue lifetime of the turbine, or one or more turbine components, based on measured wind turbine site and/or operating data; applying an optimisation function that varies an initial control schedule to determine an optimised control schedule by varying the trade off between energy capture and fatigue life consumed by the turbine or the one or more turbine components until an optimised control schedule is determined, the optimisation including: estimating future fatigue lifetime consumed by the turbine or turbine component over the duration of the varied control schedule based on the current remaining fatigue lifetime and the varied control schedule; and constraining the optimisation of the control schedule according to one or more input constraints; wherein the input const

Abstract: A method of generating a control schedule for a wind turbine is provided, the control schedule indicating how the turbine maximum power level varies over time, the method comprising: determining a value indicative of the current remaining fatigue lifetime of the turbine, or one or more turbine components, based on measured wind turbine site and/or operating data;applying an optimisation function that varies an initial control schedule to determine an optimised control schedule by varying the trade off between energy capture and fatigue life consumed by the turbine or the one or more turbine components until an optimised control schedule is determined, the optimisation including: estimating future fatigue lifetime consumed by the turbine or turbine component over the duration of the varied control schedule based on the current remaining fatigue lifetime and the varied control schedule; and constraining the optimisation of the control schedule according to one or more input constraints; wherein the input constr

Abstract: A maintenance apparatus is provided for use with a wind turbine that has a tower, a hub supported by the tower, and a plurality of blades extending outwardly from the hub. The maintenance apparatus has a mounting element that is configured to be secured to the tower and to be selectively movable along the length thereof. A robotic arm is coupled to the mounting element, and a blade-engaging device is coupled to the robotic arm and is configured to engage one of the blades to effect a maintenance task thereon.

Abstract: A wind park comprises a plurality of wind turbines with a least one wind turbine downstream of at least one upstream turbine. The downstream turbine includes a Lidar or other device for sensing characteristics of the wake produced by the upstream turbine and for providing an output to a turbine or wind park controller indicative of the measured wake. The controller controls parameters of the downstream turbine an possibly adjacent turbines in accordance with the wake indicative signals. The control may include overrating the downstream turbine if the wake indicative signal indicates that there is a low risk of fatigue damage to components of the downstream turbine.

Abstract: Method, system, and computer program product for collecting sensor readings from a component of a wind turbine. The system includes a data collection system coupled in communication with a sensor. The data collection unit includes a processor configured to direct the sensor readings from the sensor to a buffer for temporary storage and to identify a triggering event by comparing the sensor readings received from the sensor with a reference value. In response to the identification of the triggering event, the sensor readings are transferred from the buffer to the mass storage device and stored in a non-volatile form by the mass storage device.

Abstract: A maintenance apparatus is provided for use with a wind turbine that has a tower, a hub supported by the tower, and a plurality of blades extending outwardly from the hub. The maintenance apparatus has a mounting element that is configured to be secured to the tower and to be selectively movable along the length thereof. A robotic arm is coupled to the mounting element, and a blade-engaging device is coupled to the robotic arm and is configured to engage one of the blades to effect a maintenance task thereon.

Abstract: A wind park comprising a plurality of wind turbines that are coupled to each other via a control network. Control data, for example, data derived from sensors may be exchanged between the wind turbines via the control network, thereby allowing the wind turbines of the wind park to adjust operational parameters based on data received from other wind turbines of the wind park.