公开(公告)号：US20190129367A1

公开(公告)日：2019-05-02

申请号：US15794769

申请日：2017-10-26

Applicant: General Electric Company

Inventor： Chaitanya Ashok BAONE ,  Nan DUAN ,  Anup MENON ,  Mustafa Tekin DOKUCU

IPC: G05B17/02 ,  G06F17/50

Abstract: A power system model parameter conditioning tool including a server control processor in communication with phasor measurement unit monitored data records of multiple disturbance events, a model calibration unit providing event screening, power system model simulation, and simultaneous tuning of model parameters. The model calibration performing a simulation using default model parameters, the processor comparing the simulation results to the monitored data. If the prediction is within threshold, then terminating conditioning; else performing parameter identifiability analysis to determine differing effects of various model parameters on power system model accuracy, selecting a parameter set causing a degradation in power system model prediction, and updating the default model parameters corresponding to members of the parameter set with values selected to reduce the degradation. A method and a non-transitory computer readable medium are also disclosed.

公开(公告)号：US20210399546A1

公开(公告)日：2021-12-23

申请号：US17288617

申请日：2018-11-05

Applicant: GENERAL ELECTRIC COMPANY

Inventor： Anup MENON ,  Chaitanya Ashok BAONE ,  Honggang WANG ,  Mustafa Tekin DOKUCU

IPC: H02J3/00

Abstract: A dynamic simulation engine, having system parameters, may be provided for a component of an electrical power system (e.g., a generator, wind turbine, etc.). A model parameter tuning engine may receive, from a measurement data store, measurement data measured by an electrical power system measurement unit (e.g., a phasor measurement unit or digital fault recorder measuring a disturbance event). The model parameter tuning engine may then pre-condition the measurement data and set-up an optimization problem based on a result of the pre-conditioning. The system parameters of the dynamic simulation engine may be determined by solving the optimization problem with an iterative method until at least one convergence criteria is met. According to some embodiments, solving the optimization problem includes a Jacobian approximation that does not call the dynamic simulation engine if an improvement of residual meets a pre-defined criteria.

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。