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公开(公告)号:US20200340450A1
公开(公告)日:2020-10-29
申请号:US16855159
申请日:2020-04-22
Applicant: VESTAS WIND SYSTEMS A/S
Inventor: Jacob Deleuran GRUNNET , Tobias Gybel Hovgaard , Jan-Willem Van Wingerden , Sebastiaan Mulders
Abstract: The invention provides a method for controlling rotor speed of a wind turbine. The method includes defining a system model describing resonance dynamics of a wind turbine component, such as a wind turbine tower, where the system model has a nonlinear input term, e.g. a periodic forcing term. The method includes applying a transform to the system model to obtain a transformed model for response oscillation amplitude of the wind turbine component, where the transformed model has a linear input term. The method includes defining a wind turbine model describing dynamics of the wind turbine, and including the transformed model. A model-based control algorithm, e.g. model predictive control, is applied using the wind turbine model to determine at least one control output, e.g. generator torque, and the control output is used to control rotor speed of the wind turbine. Advantageously, such a method allows the effect of resonance of a wind turbine component to be included in a model-based control setup for a wind turbine as the transformed model allows for efficient on-line, real time solving of the wind turbine model.
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公开(公告)号:US12031522B2
公开(公告)日:2024-07-09
申请号:US18499397
申请日:2023-11-01
Applicant: VESTAS WIND SYSTEMS A/S
Inventor: Sebastiaan Mulders , Fabio Spagnolo , Jesper Sandberg Thomsen , Julio Xavier Vianna Neto , Jan-Willem Van Wingerden , Livia Brandetti
CPC classification number: F03D7/0224 , F03D1/00 , F03D7/042 , F05B2220/30 , F05B2270/101 , F05B2270/32
Abstract: The present invention relates to controlling a wind turbine with a scaled power coefficient where the scaled power coefficient is determined in an adjustment process. In particular is disclosed control of a wind turbine in a partial load operation mode based on a tip-speed ratio (TSR) tracking scheme which based on an estimated wind speed determines a power setpoint. The disclosed adjustment process comprises setting a scaled power coefficient as a predetermined power coefficient multiplied by a scaling factor; adding a time-varying perturbation signal to the power setpoint; determining a transfer function from the perturbation signal to a power error; evaluate the frequency response of the transfer function over a time period to determine the scaling factor which minimizes the gain of the transfer function; and setting the operating power coefficient as the scaled power coefficient.
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公开(公告)号:US12044212B2
公开(公告)日:2024-07-23
申请号:US18537370
申请日:2023-12-12
Applicant: VESTAS WIND SYSTEMS A/S
Inventor: Fabio Spagnolo , Sebastiaan Mulders , Jan-Willem Van Wingerden
IPC: F03D7/02 , H02P9/00 , H02P101/15
CPC classification number: F03D7/028 , H02P9/008 , F05B2270/1033 , F05B2270/32 , F05B2270/327 , F05B2270/8042 , H02P2101/15
Abstract: The present invention relates to controlling a wind turbine with an updated power coefficient. The updated power coefficient being adjusted by a degradation function which is determined in an iterative adjustment process. The wind turbine is controlled in partial load operation mode based on a tip-speed ratio (TSR) tracking scheme based on an estimated wind speed. The iterative adjustment process comprises operating the wind turbine to obtain a measurement set. The degradation function that represents the values of the measurement set is calculated and assigned to the mean operating TSR of the measurement set. The iterative process is continued until a difference between the selected TSR and the mean operating TSR is below a preset difference. A continuous degradation function for a range of the mean operating TSR value(s) is thereby obtained to determine an updated power coefficient to be used as the operating power coefficient.
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公开(公告)号:US11578695B2
公开(公告)日:2023-02-14
申请号:US16855159
申请日:2020-04-22
Applicant: VESTAS WIND SYSTEMS A/S
Inventor: Jacob Deleuran Grunnet , Tobias Gybel Hovgaard , Jan-Willem Van Wingerden , Sebastiaan Mulders
Abstract: Techniques for controlling rotor speed of a wind turbine. One technique includes defining a system model describing resonance dynamics of a wind turbine component, such as a wind turbine tower, where the system model has a nonlinear input term, e.g. a periodic forcing term. A transform is applied to the system model to obtain a transformed model for response oscillation amplitude of the wind turbine component, where the transformed model has a linear input term. A wind turbine model describing dynamics of the wind turbine is then defined, and includes the transformed model. A model-based control algorithm, e.g. model predictive control, is applied using the wind turbine model to determine at least one control output, e.g. generator torque, and the control output is used to control rotor speed of the wind turbine.
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