公开(公告)号：US20150308416A1

公开(公告)日：2015-10-29

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: F03D11/00 ,  G05B13/04 ,  F03D7/04 ,  F03D9/00

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。