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公开(公告)号：US10385829B2
公开(公告)日：2019-08-20
申请号：US15151573
申请日：2016-05-11
Applicant: General Electric Company
Inventor： Megan Wilson , Stefan Kern , Siddhanth Chandrashekar , Dongjai Lee , Sara Delport , Akshay Ambekar , Subhankar Ghosh
Abstract: The present disclosure is directed to systems and methods for generating one or more farm-level power curves for a wind farm that can be used to validate an upgrade provided to the wind farm. The method includes operating the wind farm in a first operational mode. Another step includes collecting turbine-level operational data from one or more of the wind turbines in the wind farm during the first operational mode. The method also includes aggregating the turbine-level operational data into a representative farm-level time-series. Another step includes analyzing the operational data collected during the first second operational mode. Thus, the method also includes generating one or more farm-level power curves for the first operational mode based on the analyzed operational data.
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公开(公告)号：US20160032892A1
公开(公告)日：2016-02-04
申请号：US14447765
申请日：2014-07-31
Applicant: General Electric Company
Inventor： Andreas Herrig , Seongkyu Lee , Stefan Kern , Thierry Pascal Maeder , Benoit Philippe Petitjean , Roger Drobietz , Sujan Kumar Pal , Biju Nanukuttan
CPC classification number: F03D7/0296 , F03D7/045 , F03D7/048 , Y02E10/723
Abstract: A method for controlling a wind farm includes: receiving temperature data associated with a plurality of locations along a sound path between the wind farm and a sound immission point from one or more sensors; estimating a propagation characteristic of the sound path based at least in part on the temperature data; predicting a noise level at the sound immission point based at least in part on the propagation characteristic; determining a control signal for one or more wind turbines in the wind farm based at least in part on the noise level; and using the control signal to control the one or more wind turbines.
Abstract translation: 一种用于控制风力发电场的方法包括：接收与沿着风场和来自一个或多个传感器的声音进入点之间的声音路径的多个位置相关联的温度数据; 至少部分地基于温度数据估计声音路径的传播特性; 至少部分地基于传播特性来预测声音输入点处的噪声电平; 至少部分地基于噪声水平确定风力发电场中的一个或多个风力涡轮机的控制信号; 以及使用所述控制信号来控制所述一个或多个风力涡轮机。
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公开(公告)号：US10371124B2
公开(公告)日：2019-08-06
申请号：US15156446
申请日：2016-05-17
Applicant: General Electric Company
Inventor： Megan Wilson , Stefan Kern , Akshay Krishnamurty Ambekar
Abstract: The present disclosure is directed to a system and method for determining wake losses of a wind farm. The wind farm includes a plurality of wind turbines. The method includes operating the wind farm in a first operational mode. Another step includes collecting turbine-level data from at least one upstream wind turbines in the wind farm during the first operational mode. The method also includes estimating a freestream farm-level power output for the wind farm during first operational mode based, at least in part, on the collected turbine-level data. A further step includes measuring an actual farm-level power output for the wind farm for the first operational mode. Thus, the method also includes determining the wake losses of the wind farm for the first operational mode as a function of the measured actual farm-level power output and the estimated freestream farm-level power output.
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公开(公告)号：US09995277B2
公开(公告)日：2018-06-12
申请号：US14447765
申请日：2014-07-31
Applicant: General Electric Company
Inventor： Andreas Herrig , Seongkyu Lee , Stefan Kern , Thierry Pascal Maeder , Benoit Philippe Petitjean , Roger Drobietz , Sujan Kumar Pal , Biju Nanukuttan
CPC classification number: F03D7/0296 , F03D7/045 , F03D7/048 , Y02E10/723
Abstract: A method for controlling a wind farm includes: receiving temperature data associated with a plurality of locations along a sound path between the wind farm and a sound immission point from one or more sensors; estimating a propagation characteristic of the sound path based at least in part on the temperature data; predicting a noise level at the sound immission point based at least in part on the propagation characteristic; determining a control signal for one or more wind turbines in the wind farm based at least in part on the noise level; and using the control signal to control the one or more wind turbines.
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Patent Agency Ranking
公开(公告)号：US20170370348A1
公开(公告)日：2017-12-28
申请号：US15194686
申请日：2016-06-28
Applicant: General Electric Company
Inventor： Megan Wilson , Stefan Kern , Siddhanth Chandrashekar , Akshay Ambekar
CPC classification number: F03D17/00 , F03D7/0224 , F03D7/024 , F03D7/028 , F03D7/048 , F03D9/257 , F05B2260/82 , F05B2260/821 , F05B2260/84 , F05B2270/1033 , F05B2270/32 , F05B2270/321 , F05B2270/335 , F05B2270/502 , G05B2219/2619 , Y02E10/723
Abstract: The present disclosure is directed to a system and method for assessing farm-level performance of a wind farm. The method includes operating the wind farm in a first operational mode and identifying one or more pairs of wind turbines having wake interaction. The method also includes generating a pairwise dataset for the wind turbines pairs. Further, the method includes generating a first wake model based on the pairwise dataset and predicting a first farm-level performance parameter based on the first wake model. The method also includes operating the wind farm in a second operational mode and collecting operational data during the second operational mode. Moreover, the method includes predicting a first farm-level performance parameter for the second operational mode using the first wake model and the operational data from the second operational mode. The method further includes determining a second farm-level performance parameter during the second operational mode. Thus, the method includes determining a difference in the farm-level performance of the wind farm as a function of the first and second farm-level performance parameters.
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公开(公告)号：US20170335827A1
公开(公告)日：2017-11-23
申请号：US15156446
申请日：2016-05-17
Applicant: General Electric Company
Inventor： Megan Wilson , Stefan Kern , Akshay Krishnamurty Ambekar
CPC classification number: F03D17/00 , F03D7/048 , F05B2260/821 , Y02E10/721 , Y02E10/723
Abstract: The present disclosure is directed to a system and method for determining wake losses of a wind farm. The wind farm includes a plurality of wind turbines. The method includes operating the wind farm in a first operational mode. Another step includes collecting turbine-level data from at least one upstream wind turbines in the wind farm during the first operational mode. The method also includes estimating a freestream farm-level power output for the wind farm during first operational mode based, at least in part, on the collected turbine-level data. A further step includes measuring an actual farm-level power output for the wind farm for the first operational mode. Thus, the method also includes determining the wake losses of the wind farm for the first operational mode as a function of the measured actual farm-level power output and the estimated freestream farm-level power output.
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公开(公告)号：US20140112777A1
公开(公告)日：2014-04-24
申请号：US13655515
申请日：2012-10-19
Applicant: GENERAL ELECTRIC COMPANY
Inventor： Chiranjeev Kalra , Stefan Kern , Henk-Jan Kooijman
IPC: F03D1/00
CPC classification number: F03D7/048 , F05B2270/20 , Y02E10/723
Abstract: A system for mitigating wake losses in a windfarm is disclosed. The system may include a first horizontal axis wind turbine configured to rotate in a first direction and a second horizontal axis wind turbine positioned adjacent to the first horizontal axis wind turbine. The second horizontal axis wind turbine configured to rotate in a second direction, wherein the first direction is opposite the second direction.
Abstract translation: 公开了一种用于减轻风电场中的尾流损失的系统。 该系统可以包括构造成沿第一方向旋转的第一水平轴风力涡轮机和邻近第一水平轴线风力涡轮机定位的第二水平轴风力涡轮机。 第二水平轴风力涡轮机被配置为沿第二方向旋转，其中第一方向与第二方向相反。
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公开(公告)号：US10260481B2
公开(公告)日：2019-04-16
申请号：US15194686
申请日：2016-06-28
Applicant: General Electric Company
Inventor： Megan Wilson , Stefan Kern , Siddhanth Chandrashekar , Akshay Ambekar
Abstract: The present disclosure is directed to a system and method for assessing farm-level performance of a wind farm. The method includes operating the wind farm in a first operational mode and identifying one or more pairs of wind turbines having wake interaction. The method also includes generating a pairwise dataset for the wind turbines pairs. Further, the method includes generating a first wake model based on the pairwise dataset and predicting a first farm-level performance parameter based on the first wake model. The method also includes operating the wind farm in a second operational mode and collecting operational data during the second operational mode. Moreover, the method includes predicting a first farm-level performance parameter for the second operational mode using the first wake model and the operational data from the second operational mode. The method further includes determining a second farm-level performance parameter during the second operational mode. Thus, the method includes determining a difference in the farm-level performance of the wind farm as a function of the first and second farm-level performance parameters.
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公开(公告)号：US20170328348A1
公开(公告)日：2017-11-16
申请号：US15151573
申请日：2016-05-11
Applicant: General Electric Company
Inventor： Megan Wilson , Stefan Kern , Siddhanth Chandrashekar , Dongjai Lee , Sara Delport , Akshay Ambekar , Subhankar Ghosh
CPC classification number: F03D17/00 , F03D7/028 , F03D7/048 , F03D9/257 , F05B2270/20 , F05B2270/335 , Y02E10/723
Abstract: The present disclosure is directed to systems and methods for generating one or more farm-level power curves for a wind farm that can be used to validate an upgrade provided to the wind farm. The method includes operating the wind farm in a first operational mode. Another step includes collecting turbine-level operational data from one or more of the wind turbines in the wind farm during the first operational mode. The method also includes aggregating the turbine-level operational data into a representative farm-level time-series. Another step includes analyzing the operational data collected during the first second operational mode. Thus, the method also includes generating one or more farm-level power curves for the first operational mode based on the analyzed operational data.
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