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公开(公告)号:US10280897B2
公开(公告)日:2019-05-07
申请号:US14964622
申请日:2015-12-10
Applicant: General Electric Company
Inventor: Thomas Stephen Markham , Samuel Davoust
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.
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公开(公告)号:US10539116B2
公开(公告)日:2020-01-21
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
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:US10338202B2
公开(公告)日:2019-07-02
申请号:US15008858
申请日:2016-01-28
Applicant: General Electric Company
Inventor: Dale Robert Mashtare , Samuel David Draper , Thomas Stephen Markham , Conner B. Shane , Katherine Derksen Stinson
Abstract: The present subject matter is directed to a system and method for sequencing Light Detecting and Ranging (LIDAR) sensor beam signals from a LIDAR sensor mounted on a nacelle of a wind turbine with the rotor position of the wind turbine so as to improve signal availability. More specifically, the method includes generating, via the LIDAR sensor, one or more laser signals towards the rotor of the wind turbine, the rotor having one or more rotor blades. The method also includes receiving, via a controller, a rotor position of the rotor of the wind turbine. Thus, the method further includes coordinating, via a control algorithm programmed within the controller, the rotor position with the one or more laser signals of the laser sensor so as to minimize interference between the laser signal(s) and the rotor blades during rotation of the rotor.
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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: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:US20170219697A1
公开(公告)日:2017-08-03
申请号:US15008858
申请日:2016-01-28
Applicant: General Electric Company
Inventor: Dale Robert Mashtare , Samuel David Draper , Thomas Stephen Markham , Conner B. Shane , Katherine Derksen Stinson
CPC classification number: G01S7/4972 , F03D1/0675 , F03D17/00 , F05B2240/221 , F05B2260/83 , F05B2270/8042 , G01S7/4818 , G01S7/497 , G01S17/58 , G01S17/95 , Y02A90/19 , Y02E10/721 , Y02E10/726
Abstract: The present subject matter is directed to a system and method for sequencing Light Detecting and Ranging (LIDAR) sensor beam signals from a LIDAR sensor mounted on a nacelle of a wind turbine with the rotor position of the wind turbine so as to improve signal availability. More specifically, the method includes generating, via the LIDAR sensor, one or more laser signals towards the rotor of the wind turbine, the rotor having one or more rotor blades. The method also includes receiving, via a controller, a rotor position of the rotor of the wind turbine. Thus, the method further includes coordinating, via a control algorithm programmed within the controller, the rotor position with the one or more laser signals of the laser sensor so as to minimize interference between the laser signal(s) and the rotor blades during rotation of the rotor.
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公开(公告)号:US20170167470A1
公开(公告)日:2017-06-15
申请号:US14964622
申请日:2015-12-10
Applicant: General Electric Company
Inventor: Thomas Stephen Markham , Samuel Davoust
CPC classification number: F03D7/042 , F03D7/0204 , F03D7/0224 , F05B2220/30 , F05B2240/2211 , F05B2250/232 , F05B2270/1011 , F05B2270/1033 , F05B2270/32 , F05B2270/8042 , G05B13/021 , Y02E10/723
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.
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