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公开(公告)号:US10815972B2
公开(公告)日:2020-10-27
申请号:US16361964
申请日:2019-03-22
Applicant: General Electric Company
Inventor: Scott Charles Evans , Danian Zheng , Raul Munoz , Samuel Bryan Shartzer , Brian Allen Rittenhouse , Samuel Davoust , Alvaro Enrique Gil , Nurali Virani , Ricardo Zetina
Abstract: A method for assessing or validating wind turbine or wind farm performance produced by one or more upgrades is provided. Measurements of operating data from wind turbines in a wind farm are obtained. Baseline models of performance are generated, and each of the baseline models is developed from a different portion of the operating data. A generating step filters the wind turbines so that they are in a balanced randomized state. An optimal baseline model of performance is selected from the baseline models and the optimal baseline model includes direction. The optimal baseline model of performance and an actual performance of the wind farm or wind turbine is compared. The comparing step determines a difference between an optimal baseline model of power output and an actual power output of the wind farm/turbine. The difference is reflective of a change in the power output produced by the upgrades.
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公开(公告)号:US20200300227A1
公开(公告)日:2020-09-24
申请号:US16361964
申请日:2019-03-22
Applicant: General Electric Company
Inventor: Scott Charles Evans , Danian Zheng , Raul Munoz , Samuel Bryan Shartzer , Brian Allen Rittenhouse , Samuel Davoust , Alvaro Enrique Gil , Nurali Virani , Ricardo Zetina
IPC: F03D17/00
Abstract: A method for assessing or validating wind turbine or wind farm performance produced by one or more upgrades is provided. Measurements of operating data from wind turbines in a wind farm are obtained. Baseline models of performance are generated, and each of the baseline models is developed from a different portion of the operating data. A generating step filters the wind turbines so that they are in a balanced randomized state. An optimal baseline model of performance is selected from the baseline models and the optimal baseline model includes direction. The optimal baseline model of performance and an actual performance of the wind farm or wind turbine is compared. The comparing step determines a difference between an optimal baseline model of power output and an actual power output of the wind farm/turbine. The difference is reflective of a change in the power output produced by the upgrades.
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公开(公告)号:US10774811B2
公开(公告)日:2020-09-15
申请号:US15968207
申请日:2018-05-01
Applicant: General Electric Company
Inventor: Samuel Davoust , Thomas Stephen Markham , Pranav Agarwal
Abstract: A wind turbine includes a wind turbine rotor and rotor blades mounted on the rotor, at least one sensing device disposed on the wind turbine for measuring a first signal representative of a first wind speed at a first distance from the wind turbine rotor and a second signal representative of a second wind speed at a second distance from the wind turbine rotor. The wind turbine system includes a blade pitch actuator for adjusting a pitch of the rotor blades and a generator controller for adjusting a voltage of a wind turbine generator. The wind turbine system also includes a control unit in communication with the blade pitch actuator and the generator controller, the control unit being used for controlling the wind turbine via the blade pitch actuator and the generator controller based on an induction factor derived from the first and second signals.
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公开(公告)号:US20200056589A1
公开(公告)日:2020-02-20
申请号:US16105076
申请日:2018-08-20
Applicant: General Electric Company
Inventor: Scott Charles Evans , Sara Simonne Louisa Delport , Samuel Davoust , Nurali Virani , Samuel Bryan Shartzer
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.
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公开(公告)号:US20190338755A1
公开(公告)日:2019-11-07
申请号:US15968207
申请日:2018-05-01
Applicant: General Electric Company
Inventor: Samuel Davoust , Thomas Stephen Markham , Pranav Agarwal
Abstract: A wind turbine includes a wind turbine rotor and rotor blades mounted on the rotor, at least one sensing device disposed on the wind turbine for measuring a first signal representative of a first wind speed at a first distance from the wind turbine rotor and a second signal representative of a second wind speed at a second distance from the wind turbine rotor. The wind turbine system includes a blade pitch actuator for adjusting a pitch of the rotor blades and a generator controller for adjusting a voltage of a wind turbine generator. The wind turbine system also includes a control unit in communication with the blade pitch actuator and the generator controller, the control unit being used for controlling the wind turbine via the blade pitch actuator and the generator controller based on an induction factor derived from the first and second signals.
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公开(公告)号:US20180017039A1
公开(公告)日:2018-01-18
申请号:US15208723
申请日:2016-07-13
Applicant: General Electric Company
Inventor: Samuel Davoust , Conner B. Shane , Fabiano Daher Adegas , Thomas Stephen Markham , Dale Robert Mashtare
CPC classification number: F03D7/0204 , F03D7/0224 , F03D7/04 , F05B2220/30 , F05B2260/84 , F05B2270/20 , F05B2270/32 , F05B2270/404 , F05B2270/8042 , G01S17/58 , G01S17/95 , Y02E10/723 , Y02P70/523
Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to provide wind turbine control and compensate for wind induction effects. An example method includes receiving wind speed data from a Light Detecting and Ranging (LIDAR) sensor. The example method includes receiving operating data indicative of wind turbine operation. The example method includes determining an apriori induction correction for wind turbine operating conditions with respect to the LIDAR wind speed data based on the operating data. The example method includes estimating a wind signal from the LIDAR sensor that is adjusted by the correction. The example method includes generating a control signal for a wind turbine based on the adjusted LIDAR estimated wind signal.
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公开(公告)号:US20170350369A1
公开(公告)日:2017-12-07
申请号:US15175771
申请日:2016-06-07
Applicant: General Electric Company
Inventor: Scott Charles Evans , Sara Simonne Louisa Delport , Samuel Davoust , Yunwen Xu
CPC classification number: F03D7/048 , F03D1/06 , F03D7/045 , F03D7/046 , F03D7/047 , F03D13/20 , F03D17/00 , F05B2270/32 , G05B13/027 , G05B19/04 , G05B2219/2619 , Y02E10/721 , Y02E10/723
Abstract: A control system for a dynamic system including at least one measurement sensor. The system includes at least one computing device configured to generate and transmit at least one regulation device command signal to at least one regulation device to regulate operation of the dynamic system based upon at least one inferred characteristic.
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