公开(公告)号：US20170016430A1

公开(公告)日：2017-01-19

申请号：US15198749

申请日：2016-06-30

Applicant: General Electric Company

Inventor： Krishna Kumar SWAMINATHAN ,  Deepak Raj SAGI ,  Pritesh JAIN ,  Sridhar DASARATHA ,  Nitika BHASKAR ,  Rahul Kumar SRIVASTAVA ,  Milesh Shrichandra GOGAD

IPC: F03D17/00 ,  F03D9/00 ,  G06N99/00 ,  F03D7/04

CPC classification number: F03D17/00 ,  F03D7/028 ,  F03D7/045 ,  F03D7/047 ,  F03D7/048 ,  F05B2260/821 ,  F05B2260/8211 ,  F05B2260/84 ,  F05B2270/335 ,  G06N20/00 ,  G06Q10/04 ,  G06Q50/06

Abstract: A wind power generation system includes one or both of a memory or storage device storing one or more processor-executable executable routines, and one or more processors configured to execute the one or more executable routines which, when executed, cause acts to be performed. The acts include receiving weather data, wind turbine system data, or a combination thereof; transforming the weather data, the wind turbine system data, or the combination thereof, into a data subset, wherein the data subset comprises a first time period data; selecting one or more wind power system models from a plurality of models; transforming the one or more wind power system models into one or more trained models at least partially based on the data subset; and executing the one or more trained models to derive a forecast, wherein the forecast comprises a predicted electrical power production for the wind power system.

Abstract translation: 风力发电系统包括存储一个或多个处理器可执行可执行例程的存储器或存储设备中的一个或两个，以及被配置为执行一个或多个可执行例程的一个或多个处理器，所述一个或多个可执行例程在被执行时引起被执行的动作。 这些行为包括接收天气数据，风力涡轮机系统数据或其组合; 将天气数据，风力涡轮机系统数据或其组合转换成数据子集，其中数据子集包括第一时间段数据; 从多个模型中选择一个或多个风力发电系统模型; 至少部分地基于所述数据子集将所述一个或多个风力发电系统模型变换成一个或多个训练的模型; 以及执行所述一个或多个经过训练的模型以导出预测，其中所述预测包括所述风力发电系统的预测电力产生。

公开(公告)号：US20170030333A1

公开(公告)日：2017-02-02

申请号：US15210008

申请日：2016-07-14

Applicant: General Electric Company

Inventor： Rahul Kumar SRIVASTAVA ,  Krishna Kumar SWAMINATHAN ,  Sridhar DASARATHA ,  Shishir GOEL ,  Milesh Shrichandra GOGAD ,  Nitika BHASKAR ,  Pritesh JAIN

IPC: F03D7/04 ,  G05B13/02

CPC classification number: F03D7/048 ,  G05B13/026 ,  H02J3/386 ,  H02J2003/007 ,  Y02E10/763 ,  Y02E60/76 ,  Y04S40/22

Abstract: The present discussion relates to generating power generation forecasts both on-site and remote to a wind farm, or other intermittent power generation asset, so as to increase the reliability of providing a forecast to interested parties, such as regulatory authorities. Forecasts may be separately generated at both the on-site and remote locations and, if both are available, one is selected for transmission to interested parties, such as regulatory authorities. If, due to circumstances, one forecast is unavailable, the other forecast may be used in its place locally and remotely, communications permitting.

Abstract translation: 本次讨论涉及到现场和遥远的风电场或其他间歇发电资产的发电预测，以增加向监管机构等有关方面提供预测的可靠性。 可以在现场和偏远地点分别生成预测，如果两者都可用，则选择一个传输给有关方面，例如监管机构。 如果由于情况，一个预测不可用，另一个预测可以在本地和远程地使用，通信允许。