Dynamic parameter estimation of generators
Various examples are provided for parameter estimation of generators. In one example, among others, a method includes collecting data corresponding to a generator using a phasor management unit (PMU) and estimating dynamic parameters of the generator using extended Kalman filtering (EKF) and the collected PMU data. In another example, a system includes at least one application executable in a processing device that obtains operational data corresponding to a generator and estimates a dynamic parameter of the generator using EKF and the operational data. In another example, an EKF estimator includes a dynamics estimator configured to estimate a state variable of a generator, a geometry estimator configured to estimate phasor values associated with the generator, and a Kalman filter gain configured to determine a correction to the state variable.
- Research Organization:
- Univ. of South Florida, Tampa, FL (United States)
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- OE0000369
- Assignee:
- University of South Florida (Tampa, FL)
- Patent Number(s):
- 10,234,508
- Application Number:
- 13/968,693
- OSTI ID:
- 1568082
- Resource Relation:
- Patent File Date: 08/16/2013
- Country of Publication:
- United States
- Language:
- English
Similar Records
Estimating model parameters for an impact-produced shock-wave simulation: Optimal use of partial data with the extended Kalman filter
An Expectation-Maximization Method for Calibrating Synchronous Machine Models