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公开(公告)号:US11347907B2
公开(公告)日:2022-05-31
申请号:US16690965
申请日:2019-11-21
Applicant: General Electric Company
Inventor: Honggang Wang , Yuh-Shyang Wang , Junqiang Zhou , Pengyuan Wang
IPC: G06F30/20 , G06F30/18 , G06F7/58 , H02J3/00 , G06N7/00 , G06F119/06 , G06F113/04 , G06F111/10 , G06F111/02 , G06Q50/06 , G06F17/14
Abstract: A computing device for distributed power system model calibration is provided. The computing device is programmed to receive event data and model response data associated with a model to simulate, wherein the model includes a plurality of parameters, divide the event data into a plurality of sets, wherein each set includes associated parameters, and transmit the plurality of sets of event data to a plurality of client nodes. Each client node of the plurality of client nodes is programmed to analyze a corresponding set of event data to determine updated parameters for the model. The computing device is further programmed to receive a plurality of updated parameters for the model from the plurality of client nodes and analyze the received plurality of updated parameters to determine at least one adjusted parameter.
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公开(公告)号:US20210317782A1
公开(公告)日:2021-10-14
申请号:US16844480
申请日:2020-04-09
Applicant: General Electric Company
Inventor: Nilesh Tralshawala , Difei Wang , David Spencer Ewens , Karthik Subramanyan , Aditya Kumar , Junqiang Zhou , Anthony Bruce Campbell
Abstract: Embodiments of the disclosure provide a method for operating a combined cycle power plant (CCPP). The method may include generating a power plant model for operating the CCPP, determining whether at least two gas turbines in the power plant model generate a power output, and modeling a fuel consumption of the CCPP for a baseline split ratio between the at least two gas turbines. The method may also include determining whether the variant split ratio meets a quality threshold for the CCPP, and adjusting the CCPP to use the variant split ratio in response to the variant split ratio meeting the quality threshold.
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公开(公告)号:US11125211B2
公开(公告)日:2021-09-21
申请号:US16414484
申请日:2019-05-16
Applicant: General Electric Company
Inventor: Masoud Abbaszadeh , Fabiano Daher Adegas , Fernando Javier D'Amato , Junqiang Zhou , Conner Shane , Justin Barton
Abstract: A system for wind turbine control includes a state dependent quadratic regulator (SDQR) control unit, a linear quadratic regulator (LQR) generating control acceleration commands for wind turbine speed and wind turbine power regulation, an actuator dynamic model computing a gain value for the LQR at predetermined sampling intervals and augmenting the actuator dynamic model with a wind turbine model. The wind turbine model either an analytical linearization model or a precomputed linear model, where the precomputed linear model is selected from a model bank based on a real-time scheduling operation, and the analytical linearization model is computed using an online linearization operation in real-time at time intervals during operation of the wind turbine based on current wind turbine operating point values present at about the time of linearization. A method and a non-transitory medium are also disclosed.
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公开(公告)号:US20200327206A1
公开(公告)日:2020-10-15
申请号:US16690965
申请日:2019-11-21
Applicant: General Electric Company
Inventor: Honggang Wang , Yuh-Shyang Wang , Junqiang Zhou , Pengyuan Wang
IPC: G06F17/50
Abstract: A computing device for distributed power system model calibration is provided. The computing device is programmed to receive event data and model response data associated with a model to simulate, wherein the model includes a plurality of parameters, divide the event data into a plurality of sets, wherein each set includes associated parameters, and transmit the plurality of sets of event data to a plurality of client nodes. Each client node of the plurality of client nodes is programmed to analyze a corresponding set of event data to determine updated parameters for the model. The computing device is further programmed to receive a plurality of updated parameters for the model from the plurality of client nodes and analyze the received plurality of updated parameters to determine at least one adjusted parameter.
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