Vestas Wind Systems A/s

Judith Turner

Chris Spruce

Kelvin Hales

Robert Bowyer

Martin Evans

Christopher John Spruce

Chakradhar Byreddy

Ian Couchman

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.

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: receiving input indicative of a target minimum wind turbine lifetime; determining a value indicative of the current remaining fatigue lifetime of the wind turbine or one or more turbine components, based on measured wind turbine site and/or operating data; and varying a parameter of an initial predefined control schedule that specifies how the turbine maximum power level varies over time. The parameter is varied by: (i) adjusting the parameter of the initial predefined control schedule; (ii) estimating the future fatigue lifetime consumed by the wind turbine or the one or more turbine components, over the duration of the varied control schedule, based upon the varied control schedule; and (iii) repeating steps (i) and (ii) until the estimated future fatigue lifetime consumed by the wind turbine or each of the one or more turbine components is sufficient to allow the target minimum wind turbine life to be reached.

A wind turbine, power plant and associated method of controlling a wind turbine is provided. Data is obtained that identifies, based on forecast data, one or more future periods of time during which it would be desirable to over-rate the wind turbine, and measures of the fatigue life consumed by one or more turbine components are determined. The total fatigue life consumed by the one or more turbine components is limited prior to the one or more periods of time by controlling the power output of the wind turbine, in advance of the one or more periods of time, based upon the measure of the fatigue life consumed by the one or more turbine components.

Wind turbine control based on forecasts

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: receiving input indicative of the maximum number of times that each of one or more turbine components are to be replaced over the remaining lifetime of the turbine; determining a value indicative of the current remaining fatigue lifetime of the turbine, or one or more of the turbine components, based on measured wind turbine site and/or operating data; and varying a parameter of an initial predefined control schedule that specifies how the turbine maximum power level varies over time. The varying is performed by: (i) adjusting the parameter of the initial predefined control schedule; (ii) estimating the future fatigue lifetime consumed by the wind turbine, or one or more turbine components, over the duration of the varied control schedule, based upon the varied control schedule and accounting for the replacements of the one or more turbine components; and (iii) repeating steps (i) and (ii) until the estimated future fatigue lifetime consumed by the wind turbine or each of the one or more turbine components is sufficient to allow a target minimum wind turbine life to be reached.

A wind turbine power plant comprises a plurality of wind turbines, each having a rated output and under the control of a power plant controller. The power plant also has a rated output which may be over-rated in response to one or more of electricity pricing data, power plant age and operator demand. The power plant controller can send over-rating demand signals to individual turbines. The controllers at the turbines include a fatigue life usage estimator which estimates a measure of the fatigue life consumed by key components of the turbine. If this measure exceeds a target value for any component, over-rating is prevented at that turbine.

Control of wind turbines

A wind turbine power plant comprises a plurality of wind turbines, each having a rated output and under the control of a power plant controller. The power plant also has a rated output which may be over-rated in response to one or more electricity pricing data, power plant age and operator demand. This may comprise a schedule of output set point changes which effect seasonal or intraday changes in electricity prices or which reflect aging of the power plant. It may also reflect the price of electricity on spot or futures markets. Once the over-rating of the power plant has been set, the output may be increased by over-rating individual turbines or operating turbines at rated power if the sum of the rated outputs of the turbines exceeds or is equal to the new power plant output set point.

Over-rating control of wind turbines and power plants

Wind turbines of a wind power plant may be selectively over-rated by measuring the difference between the nominal and actual power plant outputs and deriving an over-rating request signal based on that difference which is sent to each turbine. The same value may be sent to each turbine. Alternatively, each turbine may be given its own over-rating amount based on an optimization of the turbine. Over-rating may also be used when external economic factors such as energy costs are sufficiently high to out-weigh any potential harmful effect of over-rating. The fatigue lifetime of turbines and their critical components may also be taken into account when deciding whether and to what extent to implement an over-rating command.

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Dorking, United Kingdom

Judith Turner