Method for controlling operation of a wind turbine

    公开(公告)号:US10605228B2

    公开(公告)日:2020-03-31

    申请号:US16105076

    申请日:2018-08-20

    Abstract: A method for controlling operation of a wind turbine includes collecting training data, training a machine learning model, obtaining recent data, and applying the machine learning model the recent data to output a reference power or reference power differential corresponding to the recent data. The machine learning model is then applied to the recent data to output at least one of estimated power or estimated power differential corresponding to values of the pitch setpoints and the tip speed ratio setpoints which differ from the recent data. A turbine setting is determined by comparing the estimated power or estimated power differential to the reference power or reference power differential, and then applying the turbine setting to the wind turbine if the estimated power or estimated power differential is greater than or equal to a threshold amount above the reference power or reference power differential.

    Methods of operating a wind turbine

    公开(公告)号:US11041483B2

    公开(公告)日:2021-06-22

    申请号:US16216206

    申请日:2018-12-11

    Abstract: A method of operating a wind turbine and a method of determining fatigue in a wind turbine component are provided. The method of operating a wind turbine comprises determining a reference accumulated fatigue, determining an operational time, obtaining a partial load indicator, determining a real accumulated fatigue, comparing the real accumulated fatigue and the reference accumulated fatigue and controlling the operation of the wind turbine. The method of determining fatigue in a wind turbine component comprises determining an operational time, obtaining wind speed, obtaining turbulence intensity, determining a time for each combination of wind speed and turbulence intensity and determining a real accumulated fatigue. In a further aspect, this is also provided a wind turbine controller configured to perform any of the methods herein disclosed.

    METHODS OF OPERATING A WIND TURBINE
    4.
    发明申请

    公开(公告)号:US20190178231A1

    公开(公告)日:2019-06-13

    申请号:US16216206

    申请日:2018-12-11

    Abstract: A method of operating a wind turbine and a method of determining fatigue in a wind turbine component are provided. The method of operating a wind turbine comprises determining a reference accumulated fatigue, determining an operational time, obtaining a partial load indicator, determining a real accumulated fatigue, comparing the real accumulated fatigue and the reference accumulated fatigue and controlling the operation of the wind turbine. The method of determining fatigue in a wind turbine component comprises determining an operational time, obtaining wind speed, obtaining turbulence intensity, determining a time for each combination of wind speed and turbulence intensity and determining a real accumulated fatigue. In a further aspect, this is also provided a wind turbine controller configured to perform any of the methods herein disclosed.

    Wind turbine including sensor assembly and method of operating such

    公开(公告)号:US10451045B2

    公开(公告)日:2019-10-22

    申请号:US15661897

    申请日:2017-07-27

    Abstract: A wind turbine includes a hub configured to rotate about an axis at a first rotation speed and at least one blade coupled to the hub. The wind turbine also includes a sensor assembly configured to detect at least one characteristic of wind flowing through the wind turbine. The sensor assembly is mounted to the hub. The sensor assembly includes a laser device configured to emit a laser beam and at least one optical element configured to direct the laser beam. The sensor assembly also includes a non-motorized mechanism configured to rotate the at least one optical element at a second rotation speed when the hub rotates at the first rotation speed. The second rotation speed is greater than the first rotation speed.

    Methods and systems for controlling a wind turbine

    公开(公告)号:US10280897B2

    公开(公告)日:2019-05-07

    申请号:US14964622

    申请日:2015-12-10

    Abstract: A method for controlling a wind turbine includes receiving signals representative of oncoming wind speeds approaching at least a portion of a wind turbine, receiving background noise and signals representative of signal-to-noise ratios corresponding to the signals representative of the oncoming wind speeds, determining an availability-and-atmospheric noise in the signals based on one or more of the signal-to-noise ratios, blade positions of blades of the wind turbine, and the yaw position of a nacelle of the wind turbine, determining a wind incoherence noise in the signals due to a change in the oncoming wind speeds while approaching at least the portion of the wind turbine, determining a net measurement noise in the signals based on the background noise, the availability-and-atmospheric noise, and the wind incoherence noise, and controlling the wind turbine based at least on the signals representative of the oncoming wind speeds and the net measurement noise.

    Systems and methods for continuous machine learning based control of wind turbines

    公开(公告)号:US11060504B1

    公开(公告)日:2021-07-13

    申请号:US16784798

    申请日:2020-02-07

    Abstract: A control system is disclosed. The control system includes a wind turbine, at least one sensor configured to detect at least one property of the wind turbine to generate measurement data, and a controller communicatively coupled to the wind turbine and the at least one sensor. The controller includes at least one processor in communication with at least one memory device. The at least one processor is configured to control, during a training phase, the wind turbine according to at least one test parameter, receive, from the at least one sensor, during the training phase, first measurement data, generate, based on the at least one test parameter and the received first measurement data, a control model, receive, during an operating phase, second measurement data from the at least one sensor, and update the control model continuously based on the second measurement data.

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