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公开(公告)号：US20190145381A1
公开(公告)日：2019-05-16
申请号：US15810247
申请日：2017-11-13
Applicant: General Electric Company
Abstract: The present disclosure is directed to a method for detecting a mass imbalance in a rotor of a wind turbine. The method includes receiving, with a computing device, sensor data indicative of an operating characteristic of the wind turbine. The method also includes determining, with the computing device, a mean amplitude of a designated frequency component of the operating characteristic. Furthermore, the method includes determining, with the computing device, when a mass imbalance is present within the rotor based on the mean amplitude of the designated frequency component.
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公开(公告)号：US09983087B2
公开(公告)日：2018-05-29
申请号：US14565981
申请日：2014-12-10
Applicant: General Electric Company
Inventor： Mahesh Raveendranatha Panicker , Aninda Bhattacharya , Akshay Krishnamurty Ambekar , Bret Dwayne Worden
Abstract: A system is presented. The system includes a stator component, a rotor component rotating inside the stator component, a plurality of features disposed on the periphery of the stator component or the rotor component, and a processing subsystem for determining at least one of an amount of rotor imbalance and an orientation of the rotor imbalance at least based upon feature-to-feature speed variation of the plurality of features.
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公开(公告)号：US10100813B2
公开(公告)日：2018-10-16
申请号：US14551125
申请日：2014-11-24
Applicant: General Electric Company
Abstract: Methods and systems for optimizing operation of a wind farm are disclosed. The method includes providing a farm-level wake model for the wind farm based on historical wake parameters corresponding to reference sets of interacting wind turbines in the wind farm. Another step includes monitoring one or more real-time wake parameters for wind turbines in the wind farm. A further step includes identifying at least two interacting wind turbines from the reference sets based on the wake parameters. Another step includes determining a wake offset angle between the interacting wind turbines as a function of at least one of a wind direction, a geometry between the interacting wind turbines, or a wake meandering component. The method also includes continuously updating the wake model online based at least partially on the wake parameters and the wake offset angle and controlling the interacting wind turbines based on the updated wake model.
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公开(公告)号：US09551322B2
公开(公告)日：2017-01-24
申请号：US14692115
申请日：2015-04-21
Applicant: General Electric Company
Inventor： Akshay Krishnamurty Ambekar , Krishnarao Dattaram Dhuri , Siddhanth Chandrashekar , Kalpit Vikrambhai Desai , Anup Menon
IPC: G05D3/12 , G05D5/00 , G05D9/00 , G05D11/00 , G05D17/00 , F03D9/00 , H02P9/04 , F03D7/04 , G05B13/04
CPC classification number: F03D7/048 , F03D7/045 , F03D9/257 , F03D17/00 , F05B2270/321 , G05B13/048 , Y02E10/723
Abstract: Embodiments of methods and systems for optimizing operation of a wind farm are presented. The method includes receiving new values corresponding to at least some wake parameters for wind turbines in the wind farm. The method further includes identifying new sets of interacting wind turbines from the wind turbines based on the new values. Additionally, the method includes developing a farm-level predictive wake model for the new sets of interacting wind turbines based on the new values and historical wake models determined using historical values of the wake parameters corresponding to reference sets of interacting wind turbines in the wind farm. Furthermore, the method includes adjusting one or more control settings for at least the new sets of interacting wind turbines based on the farm-level predictive wake model.
Abstract translation: 介绍了风力发电场优化运行方法和系统的实施例。 该方法包括接收对应于风力发电场中的风力涡轮机的至少一些唤醒参数的新值。 该方法还包括基于新的值识别来自风力涡轮机的新的相互作用的风力涡轮机组。 另外，该方法包括基于新值和历史唤醒模型来开发用于新的相互作用的风力涡轮机组的农场级预测尾迹模型，所述新值和历史唤醒模型使用与风力发电场中相互作用的风力涡轮机的参考组对应的唤醒参数的历史值来确定 。 此外，该方法包括基于农场级预测尾迹模型来调整至少新的交互式风力涡轮机组的一个或多个控制设置。
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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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Patent Agency Ranking
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：US20150330365A1
公开(公告)日：2015-11-19
申请号：US14709505
申请日：2015-05-12
Applicant: General Electric Company
Inventor： Dipankar Deb , Akshay Krishnamurty Ambekar , Deepak Raj Sagi
CPC classification number: F03D7/048 , F03D9/11 , F03D9/257 , G05B13/021 , Y02E10/723
Abstract: A method for optimizing a hybrid wind system including a wind farm having a plurality of wind turbines and one or more energy storage units, is presented. The method includes acquiring actual wind power data associated with one or more dispatch windows. The method includes determining forecasted wind farm power estimates corresponding to the dispatch windows using a plurality of forecast schemes. The method includes computing difference values by comparing the forecasted wind farm power estimates to the actual wind power data. The method includes identifying a wind power forecast scheme based at least in part on the computed difference values and balancing a penalty to the grid with life consumption of the energy storage units while regulating the wind turbines and the energy storage units based at least in part on a subsequent forecasted wind farm power estimate generated using the identified wind power forecast scheme.
Abstract translation: 提出了一种用于优化包括具有多个风力涡轮机和一个或多个能量存储单元的风力发电场的混合风力系统的方法。 该方法包括获取与一个或多个调度窗口相关联的实际风力数据。 该方法包括使用多个预测方案来确定与调度窗口相对应的预测的风电场功率估计。 该方法包括通过将预测的风电场功率估计与实际风力数据进行比较来计算差值。 该方法包括至少部分地基于计算出的差值来识别风力发电预测方案，并且至少部分地基于调节风力涡轮机和能量存储单元来调节能量存储单元的寿命来平衡对电网的惩罚 使用确定的风力发电预测方案生成的随后预测的风电场功率估计。
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公开(公告)号：US10781795B2
公开(公告)日：2020-09-22
申请号：US15810247
申请日：2017-11-13
Applicant: General Electric Company
Abstract: The present disclosure is directed to a method for detecting a mass imbalance in a rotor of a wind turbine. The method includes receiving, with a computing device, sensor data indicative of an operating characteristic of the wind turbine. The method also includes determining, with the computing device, a mean amplitude of a designated frequency component of the operating characteristic. Furthermore, the method includes determining, with the computing device, when a mass imbalance is present within the rotor based on the mean amplitude of the designated frequency component.
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公开(公告)号：US10050447B2
公开(公告)日：2018-08-14
申请号：US14782397
申请日：2014-03-26
Applicant: General Electric Company
Inventor： Rajni Kant Burra , Avijit Saha , Venkatarao Ryali , Govardhan Ganireddy , Akshay Krishnamurty Ambekar , Deepak Raj Sagi
Abstract: A multi-farm wind power dispatch management system is provided which includes wind turbine dispatch controllers for controlling wind power dispatch of respective wind farm components and wind farm dispatch management systems for receiving respective wind farm component operating parameters and generating respective farm-level operating parameters. The system also includes group dispatch management systems for receiving the farm-level operating parameters and generating respective group level operating parameters. The system also includes a master dispatch management system for receiving the group-level operating parameters; computing a real time output power generated by the wind farm components; determining a difference between the real time output power and a committed output power; and generating reference commands, based on the difference, for controlling at least one of, the wind farm component operating parameters, the farm-level operating parameters, the group level operating parameters, or combinations thereof to reduce the difference and dispatch the committed output power.
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公开(公告)号：US20160146190A1
公开(公告)日：2016-05-26
申请号：US14551125
申请日：2014-11-24
Applicant: General Electric Company
CPC classification number: F03D7/048 , F03D9/257 , F03D17/00 , F05B2270/20 , Y02E10/723
Abstract: Methods and systems for optimizing operation of a wind farm are disclosed. The method includes providing a farm-level wake model for the wind farm based on historical wake parameters corresponding to reference sets of interacting wind turbines in the wind farm. Another step includes monitoring one or more real-time wake parameters for wind turbines in the wind farm. A further step includes identifying at least two interacting wind turbines from the reference sets based on the wake parameters. Another step includes determining a wake offset angle between the interacting wind turbines as a function of at least one of a wind direction, a geometry between the interacting wind turbines, or a wake meandering component. The method also includes continuously updating the wake model online based at least partially on the wake parameters and the wake offset angle and controlling the interacting wind turbines based on the updated wake model.
Abstract translation: 公开了用于优化风电场运行的方法和系统。 该方法包括基于对应于风力发电场中相互作用的风力涡轮机的参考组的历史唤醒参数来为风电场提供农场级唤醒模型。 另一步骤包括监测风力发电场中的风力涡轮机的一个或多个实时唤醒参数。 另一个步骤包括基于唤醒参数从参考集中识别至少两个相互作用的风力涡轮机。 另一步骤包括根据风向，相互作用的风力涡轮机之间的几何形状或唤醒弯曲部件中的至少一个来确定相互作用的风力涡轮机之间的尾流偏移角。 该方法还包括至少部分地基于唤醒参数和尾流偏移角连续更新在线唤醒模型，并且基于更新的尾流模型来控制相互作用的风力涡轮机。
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