The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Oct. 20, 2020

Filed:

Oct. 26, 2017
Applicant:

General Electric Company, Schenectady, NY (US);

Inventors:

Chaitanya Ashok Baone, Glenville, NY (US);

Nan Duan, Knoxville, TN (US);

Anup Menon, Guilderland, NY (US);

Mustafa Tekin Dokucu, Latham, NY (US);

Assignee:

General Electric Company, Schenectady, NY (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 30/20 (2020.01); G05B 17/02 (2006.01); H02J 13/00 (2006.01); G06F 30/367 (2020.01); H02J 3/24 (2006.01);
U.S. Cl.
CPC ...
G05B 17/02 (2013.01); G06F 30/20 (2020.01); G06F 30/367 (2020.01); H02J 13/0006 (2013.01); H02J 3/24 (2013.01); H02J 13/00002 (2020.01); H02J 13/00018 (2020.01); H02J 13/0062 (2013.01); H02J 13/0075 (2013.01); H02J 13/0079 (2013.01); H02J 2203/20 (2020.01);
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.


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