Method and system for predictive control of a wind turbine

Patent metadata

Field	Value
Publication number	US-2025198379-A1
Application number	US-202418978062-A
Country	US
Kind code	A1
Filing date	Dec 12, 2024
Priority date	Dec 14, 2023
Publication date	Jun 19, 2025
Grant date	—

Abstract

The present disclosure relates to a method ( 100 ) for controlling a wind turbine ( 10 ) having a plurality of actuators ( 364 ). The method ( 100 ) comprises receiving operational data ( 366 ) of the wind turbine ( 10 ) and determining an operational state of the wind turbine ( 10 ). The method ( 100 ) comprises using a control model ( 370 ) to predict potential operational states depending on operation of the actuators ( 364 ) over a finite period of time. The control model ( 370 ) comprises an aeroelastic model ( 371 ) to determine loads ( 375 ) based on operational data ( 366 ). The control model ( 370 ) further comprises a strength calculation module ( 372 ) to calculate secondary load parameters ( 374 ) from the loads ( 375 ), constraints being defined for the secondary load parameters. The method ( 100 ) comprises optimizing a cost function over an optimization period of time, subject to the constraints, to determine an optimum trajectory comprising commands for the actuators ( 364 ). Finally, the method ( 100 ) comprises using the first commands of the optimum trajectory to control the actuators ( 364 ). The disclosure also relates to a controller ( 360 ) for a wind turbine ( 10 ) configured to implement such method ( 100 ).

First claim

1 - 15 : (canceled)

16 . A method of controlling a wind turbine having a plurality of wind turbine actuators, the method comprising the following steps:
receiving operational data of the wind turbine; based on the received operational data, estimating an operational state of the wind turbine; using a control model to predict potential operational states of the wind turbine depending on operation of the wind turbine actuators over a finite period of time, wherein the control model comprises a predictive aeroelastic control model to determine primary loads based on the received operational data, the control model further comprising a strength calculation module to calculate one or more secondary load parameters based on one or more of the primary loads, constraints being defined for the secondary load parameters; optimizing a cost function over a finite optimization period of time, subject to the constraints, to determine an optimum trajectory comprising commands for the wind turbine actuators; and using the first commands of the determined optimum trajectory to control the wind turbine actuators.

17 . The method of claim 16 , further comprising repeating the steps at consecutive control intervals.

18 . The method of claim 16 , wherein constraints are defined for one or more of the primary loads, and optimizing a cost function over a finite optimization period of time is subjected to the constraints defined for the primary loads.

19 . The method of claim 16 , wherein the secondary load parameters are included in the cost function, wherein the secondary load parameters are included with a corresponding weight indicative of a relative importance of the secondary load parameter, and wherein the constraints defined for the secondary load parameters comprise at least an upper bound and a slack variable, the slack variables being penalized in the cost function.

20 . The method of claim 16 , wherein the constraints defined for the secondary load parameters are based on material limits of one or more wind turbine components.

21 . The method of claim 16 , wherein the secondary load parameters are predetermined based on a finite element method analysis of selected components of the wind turbine.

22 . The method of claim 16 , wherein the secondary load parameters comprise at least one of the following: a force, a moment, a stress, a strain or a buckling load.

23 . The method of claim 16 , wherein the predicted values of the secondary load parameters or the determined primary loads are stored and compared with actually measured values to evaluate a quality of the prediction based on a mean prediction error over a time interval or by a variation of a prediction error over a time interval.

24 . The method of claim 23 , wherein the secondary load parameters are included in the cost function with a corresponding weight indicative of a relative importance of the secondary load parameters, and the evaluation of the quality of the prediction is used to update the weight of the corresponding secondary load parameters or to update a bound of the constraint defined for the corresponding secondary load parameters.

25 . The method of claim 16 , wherein the cost function comprises at least two reference tracking members related to power generated by the wind turbine and rotational speed of the wind turbine and at least two activity suppression members related to blade pitch and generator torque activity.

26 . The method of claim 16 , wherein bounds of the constraints defined for different secondary load parameters are selectively adjusted in dependence of at least one of the operational state of the wind turbine, an operating mode of the wind turbine, or an environmental condition.

27 . The method of claim 16 , wherein the constraints defined for different secondary load parameters are selectively activated or deactivated according to at least one of the operational state of the wind turbine, an operating mode of the wind turbine, or an environmental condition.

28 . The method of claim 16 , wherein the strength calculation module includes expressions to calculate a value of the secondary load parameters, the expressions comprising a linearization of the calculation of the secondary load parameters.

29 . The method of claim 16 , wherein the commands to control the wind turbine actuators comprise a blade pitch actuator or a generator torque.

30 . The method of claim 16 , wherein one of the secondary load parameters comprises a resultant moment at a blade root of a wind turbine blade.

31 . The method of claim 16 , wherein one or more of the secondary load parameters are derived as a function of a collection of three-dimensional forces and three-dimensional moments at one or more locations of a wind turbine blade, wherein the one or more secondary load parameters comprise at least one of:
a combination of a resultant blade moment and an axial force; or a combination of a normal force, a shear force, a torsional moment, an edge moment and a flap moment at a specific blade section of the wind turbine blade.

32 . The method of claim 16 , wherein the secondary load parameters comprise a combination of compression, bending, and torsional loads at one or more sections of a wind turbine tower.

33 . The method of claim 16 , wherein the secondary load parameters comprise at least one of a maximum tensile stress, a maximum shear stress, or a maximum shear deformation energy at one or more locations of a wind turbine hub, wherein the maximum tensile stress, the maximum shear stress, and the maximum shear deformation energy are calculated with a stress tensor after considering three-dimensional forces and moments from each wind turbine blade connected to the wind turbine hub and from the connection to a main shaft of the wind turbine.

34 . A method of controlling a wind turbine having a plurality of wind turbine actuators, the method comprising repeating the following steps at consecutive control steps:
receiving operational data of the wind turbine; based on the received operational data, estimating an operational state of the wind turbine, the operational state being defined at least partially by a plurality of variables; using a control model to predict potential operational states of the wind turbine depending on operation of the wind turbine actuators over a finite period of time, the control model further comprising a strength calculation module to derive one or more predetermined load parameters based on the received operational data, and wherein constraints are defined for the load parameters; optimizing a cost function over the finite period of time, subject to the constraints, to determine an optimum trajectory comprising commands for the wind turbine actuators; and using the first commands of the determined optimum trajectory to control the wind turbine actuators.

35 . A controller for a wind turbine, the controller configured to perform the method according to claim 34 .

Assignees

• General Electric Renovables Espana Sl

Inventors

• D'Amato Fernando Javier
• Singal Kalpesh
• Liu Su
• Vita Luca
• Achanta Hema K
• Arroyo Beltri Pedro

Classifications

• F03D7/045 Primary

  with model-based controls · CPC title

• F03D7/02 Primary

  the wind motors having rotation axis substantially parallel to the air flow entering the rotor · CPC title

• Y02E10/72

  Wind turbines with rotation axis in wind direction · CPC title

• F05B2260/79

  Bearing, support or actuation arrangements therefor · CPC title

• F05B2260/74

  by turning around an axis perpendicular the rotor centre line · CPC title