中科微点-全球专利检索

  1. Login
  2. Sign Up

Search Results

9 records (took 0.02 seconds)

    SYSTEMS AND METHODS FOR OPTIMIZING OPERATION OF A WIND FARM
    2.
    发明申请
    SYSTEMS AND METHODS FOR OPTIMIZING OPERATION OF A WIND FARM 审中-公开
    优化风力发电机运行的系统与方法

    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

    Inventor： Vishal Cholapadi Ravindra ,  Akshay Krishnamurty Ambekar ,  Siddhanth Chandrashekar

    IPC: F03D7/04 ,  F03D9/00

    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。

    Systems and methods for optimizing operation of a wind farm
    5.
    发明授权
    Systems and methods for optimizing operation of a wind farm 有权

    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

    Inventor： Vishal Cholapadi Ravindra ,  Akshay Krishnamurty Ambekar ,  Siddhanth Chandrashekar

    IPC: F03D7/04 ,  F03D9/00

    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.

    Systems and methods for optimizing operation of a wind farm
    6.
    发明授权
    Systems and methods for optimizing operation of a wind farm 有权
    优化风电场运行的系统和方法

    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。

    System and method for assessing farm-level performance of a wind farm
    7.
    发明授权
    System and method for assessing farm-level performance of a wind farm 有权

    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

    IPC: F03D17/00 ,  F03D7/02 ,  F03D7/04 ,  F03D9/25

    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.

    SYSTEMS AND METHODS FOR WIND TURBINE NACELLE-POSITION RECALIBRATION AND WIND DIRECTION ESTIMATION
    9.
    发明申请
    SYSTEMS AND METHODS FOR WIND TURBINE NACELLE-POSITION RECALIBRATION AND WIND DIRECTION ESTIMATION 审中-公开
    用于风力涡轮机位置调节和风向方向估计的系统和方法

    公开(公告)号：US20150345476A1

    公开(公告)日：2015-12-03

    申请号：US14291140

    申请日：2014-05-30

    Applicant: General Electric Company

    Inventor： Peter Alan Gregg ,  Megan Michela Wilson ,  Siddhanth Chandrashekar ,  Vineel Chandrakanth Gujjar ,  Manisha Srivastava ,  Colin Craig McCulloch

    IPC: F03D11/00

    CPC classification number: F03D17/00 ,  F03D7/048 ,  F05B2270/802 ,  Y02E10/723

    Abstract: A computer-implemented method for recalibrating nacelle-positions of a plurality of wind turbines in a wind park is implemented by a nacelle calibration computing device including a processor and a memory device coupled to the processor. The method includes identifying at least two associated wind turbines included within the wind park wherein each associated wind turbine includes location information, determining a plurality of predicted wake features for the associated wind turbines based at least partially on the location information of each associated wind turbine, retrieving a plurality of historical performance data related to the associated wind turbines, determining a plurality of current wake features based on the plurality of historical performance data, identifying a variance between the predicted wake features and the current wake features, and determining a recalibration factor for at least one of the associated wind turbines based on the identified variance.

    Abstract translation: 用于重新校准风力发电场中的多个风力涡轮机的机舱位置的计算机实现的方法由包括耦合到处理器的处理器和存储器件的机舱校准计算设备实现。 该方法包括识别包括在风力公园内的至少两个相关联的风力涡轮机，其中每个相关联的风力涡轮机包括位置信息，至少部分地基于每个相关联的风力涡轮机的位置信息确定相关风力涡轮机的多个预测的尾流特征， 检索与相关联的风力涡轮机相关的多个历史性能数据，基于所述多个历史性能数据确定多个当前唤醒特征，识别所述预测尾迹​​特征与所述当前唤醒特征之间的差异，以及确定重新校准因子 基于所识别的方差的相关风力涡轮机中的至少一个。

Patent Agency Ranking