公开(公告)号：US20160265513A1

公开(公告)日：2016-09-15

申请号：US14644743

申请日：2015-03-11

Applicant: General Electric Company

Inventor： Scott Charles Evans ,  Zhanpan Zhang ,  Peter Alan Gregg ,  Kevin Wayne Kinzie ,  William Arthur Flodder ,  Mark Nicolaas Jonkhof ,  Megan Michela Wilson

IPC: F03D9/00 ,  F03D7/00

CPC classification number: F03D13/30 ,  F03D7/048 ,  F03D9/257 ,  F03D17/00 ,  F05B2230/80 ,  F05B2270/32 ,  F05B2270/335 ,  Y02E10/723 ,  Y02P70/523

Abstract: The present disclosure is directed to systems and methods for validating wind farm performance improvements so as to optimize wind farm performance. In one embodiment, the method includes operating, via a controller, the wind farm in a first operating mode. Another step includes collecting a first set of operating data, via a processor, during the first operating mode. A further step includes operating, via the controller, the wind farm in a second operating mode. The method also includes collecting a second set of operating data, via the processor, during the second operating mode. Next, the method includes normalizing the first and second sets of operating data based on wind speed distributions. As such, another step includes comparing, via the processor, the normalized first and second sets of operating data so as to validate one or more wind farm performance measurements.

Abstract translation: 本公开涉及用于验证风电场性能改进的系统和方法，以便优化风电场性能。 在一个实施例中，该方法包括经由控制器以第一操作模式操作风电场。 另一步骤包括在第一操作模式期间经由处理器收集第一组操作数据。 另一步骤包括经由控制器以第二操作模式操作风电场。 该方法还包括在第二操作模式期间经由处理器收集第二组操作数据。 接下来，该方法包括基于风速分布来归一化第一和第二组操作数据。 因此，另一步骤包括经由处理器比较归一化的第一和第二组操作数据，以便验证一个或多个风电场性能测量。

公开(公告)号：US20160084233A1

公开(公告)日：2016-03-24

申请号：US14493464

申请日：2014-09-23

Applicant: General Electric Company

Inventor： Scott Charles Evans ,  Zhanpan Zhang ,  Peter Alan Gregg ,  Satish G. Iyengar

IPC: F03D11/00 ,  F03D9/00 ,  F03D7/00

CPC classification number: F03D17/00 ,  F03D7/048 ,  F03D9/257 ,  F05B2260/84 ,  F05D2270/20 ,  F05D2270/335 ,  H02J3/00 ,  H02J3/386 ,  H02J2003/007 ,  Y02E10/723 ,  Y02E10/763 ,  Y02E60/76 ,  Y04S40/22

Abstract: The present disclosure is directed to systems and methods for validating and/or identifying wind farm performance measurements so as to optimize wind farm performance. The method includes measuring operating data from one or more wind turbines of the farm. Another step includes generating a plurality of baseline models of performance of the wind farm from at least a portion of the operating data. Thus, each of the baseline models of performance is developed from a different portion of operating data so as to provide comparable models. The method also includes selecting an optimal baseline model and comparing the optimal baseline model with actual performance of the wind farm. In a particular embodiment, the actual performance of the wind farm is determined after one or more wind turbines of the wind farm is modified by one or more upgrades.

Abstract translation: 本公开涉及用于验证和/或识别风电场性能测量的系统和方法，以便优化风电场性能。 该方法包括测量来自农场的一个或多个风力涡轮机的操作数据。 另一步骤包括从至少一部分操作数据生成风力场的多个基准模型。 因此，性能的每个基准模型是从不同部分的操作数据开发的，以便提供可比较的模型。 该方法还包括选择最佳基线模型，并将最佳基线模型与风电场的实际性能进行比较。 在特定实施例中，在风力发电场的一个或多个风力涡轮机被一个或多个升级修改之后确定风电场的实际性能。

公开(公告)号：US20150252786A1

公开(公告)日：2015-09-10

申请号：US14198641

申请日：2014-03-06

Applicant: General Electric Company

Inventor： Awadesh Kumar Tiwari ,  Peter Alan Gregg ,  Raul Munoz Medina ,  Achalesh Kumar Pandey ,  Isaac Alejandro Martinez Tovar

IPC: F03D7/04

CPC classification number: F03D7/04 ,  F03D7/046 ,  F05B2260/821 ,  Y02E10/723

Abstract: The present subject matter is directed to a system and method for optimizing wind turbine operation. For example, the present disclosure is configured to generate operating data for at least one operational parameter of the wind turbine for a predetermined time period. The system can then determine a robustness measurement of at least a portion of the operating data. In general, the robustness measurement indicates the tendency of the operating data to be affected by outliers present in the operating data. In addition, the robustness measurement is typically a function of a distribution of the operating data. The present disclosure is then configured to determine at least one optimal set point for the operational parameter as a function of the robustness measurement and a power production of the wind turbine. The wind turbine can then be operated based on the optimal set point.

Abstract translation: 本发明涉及用于优化风力涡轮机操作的系统和方法。 例如，本公开被配置为在预定时间段内生成风力涡轮机的至少一个操作参数的操作数据。 系统然后可以确定运行数据的至少一部分的鲁棒性测量。 一般来说，鲁棒性测量表明操作数据受操作数据中存在的异常值的影响。 另外，鲁棒性测量通常是操作数据分布的函数。 本公开然后被配置为根据鲁棒性测量和风力涡轮机的功率产生来确定操作参数的至少一个最优设定点。 然后可以基于最佳设定点来操作风力涡轮机。