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    MULTI-ROTOR WIND TURBINE YAW CONTROL
    7.
    发明公开
    MULTI-ROTOR WIND TURBINE YAW CONTROL 审中-公开

    公开(公告)号：US20230407839A1

    公开(公告)日：2023-12-21

    申请号：US18250354

    申请日：2021-10-14

    Applicant: VESTAS WIND SYSTEMS A/S

    Inventor： Johnny NIELSEN

    IPC: F03D7/02 ,  F03D7/04 ,  F03D9/25

    CPC classification number: F03D7/0204 ,  F03D7/046 ,  F03D9/25 ,  F05B2270/329 ,  F05B2270/321 ,  F05B2270/335 ,  F05B2270/504 ,  F05B2240/37

    Abstract: There is provided methods and systems for controlling a multi-rotor wind turbine generator having at least two rotor nacelle assemblies mounted to a support arrangement by a common yaw control system and each having a wind direction sensor mounted thereto configured to measure a wind direction relative to forward direction of its rotor nacelle assembly. The methods comprise the steps of measuring, for each rotor nacelle assembly, wind power parameter data over a plurality of relative wind directions, determining, based on the measured data, an optimum relative wind direction, either based on the average of two directions at which the parameter is maximum or on a combined data set, and controlling the yaw system accordingly.

    Estimating wind direction incident on a wind turbine
    8.
    发明授权
    Estimating wind direction incident on a wind turbine 有权

    公开(公告)号：US11841006B2

    公开(公告)日：2023-12-12

    申请号：US17529073

    申请日：2021-11-17

    Applicant: VESTAS WIND SYSTEMS A/S

    Inventor： Goncalo Lucas Marcos ,  Lars Glavind ,  Johnny Nielsen

    IPC: F03D7/04 ,  F03D7/02 ,  G01P13/02

    CPC classification number: F03D7/046 ,  F03D7/0204 ,  G01P13/02 ,  F05B2260/821 ,  F05B2270/32 ,  F05B2270/321 ,  F05B2270/329 ,  F05B2270/80

    Abstract: Systems and methods for estimating a direction of wind incident on a wind turbine, the wind turbine comprising a tower; a rotor-nacelle-assembly (RNA) carried by the tower; a deflection sensor configured to sense a position of the RNA or a deflection of the tower; and a wind direction sensor. One approach includes: obtaining deflection training data from the deflection sensor; obtaining wind direction training data from the wind direction sensor; training a machine learning model on the basis of the deflection training data and the wind direction training data in order to obtain a trained machine learning model; obtaining further deflection data from the deflection sensor; inputting the further deflection data into the trained machine learning model; and operating the machine learning model to output a wind direction estimate on the basis of the further deflection data.

    LEARNING-BASED BACKUP CONTROLLER FOR A WIND TURBINE
    9.
    发明公开
    LEARNING-BASED BACKUP CONTROLLER FOR A WIND TURBINE 审中-公开

    公开(公告)号：US20230296078A1

    公开(公告)日：2023-09-21

    申请号：US17698040

    申请日：2022-03-18

    Applicant: General Electric Company

    Inventor： Kalpesh Singal ,  Mustafa Tekin Dokucu ,  Fernando Javier D′Amato ,  Georgios Boutselis

    IPC: F03D7/04 ,  F03D7/02

    CPC classification number: F03D7/046 ,  F03D7/0264 ,  F03D7/045 ,  F05B2270/1031 ,  F05B2270/1074 ,  F05B2270/328 ,  F05B2270/335 ,  F05B2270/709

    Abstract: A method for providing backup control for a supervisory controller of at least one wind turbine includes observing, via a learning-based backup controller of the at least one wind turbine, at least one operating parameter of the supervisory controller under normal operation. The method also includes learning, via the learning-based backup controller, one or more control actions of the at least one wind turbine based on the operating parameter(s). Further, the method includes receiving, via the learning-based backup controller, an indication that the supervisory controller is unavailable to continue the normal operation. Upon receipt of the indication, the method includes controlling, via the learning-based backup controller, the wind turbine(s) using the learned one or more control actions until the supervisory controller becomes available again. Moreover, the control action(s) defines a delta that one or more setpoints of the wind turbine(s) should be adjusted by to achieve a desired outcome.

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