Dynamic parameter estimation of generators
Abstract
Various examples are provided extended Kalman filtering estimators for generators. In one example, among others an extended Kalman filtering estimator includes a dynamics estimator configured to calculate an estimated variable such as an estimated dynamic state or an estimated parameter of a generator, a geometry estimator configured to estimate generator values, and a Kalman filter component configured to determine a correction to the estimated state variable.
- Inventors:
- Issue Date:
- Research Org.:
- Univ. of South Florida, Tampa, FL (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1805356
- Patent Number(s):
- 10884060
- Application Number:
- 16/227,730
- Assignee:
- University of South Florida (Tampa, FL)
- Patent Classifications (CPCs):
-
G - PHYSICS G01 - MEASURING G01R - MEASURING ELECTRIC VARIABLES
H - ELECTRICITY H02 - GENERATION H02K - DYNAMO-ELECTRIC MACHINES
- DOE Contract Number:
- OE0000369
- Resource Type:
- Patent
- Resource Relation:
- Patent File Date: 12/20/2018
- Country of Publication:
- United States
- Language:
- English
Citation Formats
Miao, Zhixin, and Fan, Lingling. Dynamic parameter estimation of generators. United States: N. p., 2021.
Web.
Miao, Zhixin, & Fan, Lingling. Dynamic parameter estimation of generators. United States.
Miao, Zhixin, and Fan, Lingling. Tue .
"Dynamic parameter estimation of generators". United States. https://www.osti.gov/servlets/purl/1805356.
@article{osti_1805356,
title = {Dynamic parameter estimation of generators},
author = {Miao, Zhixin and Fan, Lingling},
abstractNote = {Various examples are provided extended Kalman filtering estimators for generators. In one example, among others an extended Kalman filtering estimator includes a dynamics estimator configured to calculate an estimated variable such as an estimated dynamic state or an estimated parameter of a generator, a geometry estimator configured to estimate generator values, and a Kalman filter component configured to determine a correction to the estimated state variable.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Jan 05 00:00:00 EST 2021},
month = {Tue Jan 05 00:00:00 EST 2021}
}
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