Title :
On-line measurement of synchronous machine parameters
Author :
Fairbairn, Richard E. ; Harley, Ronald G.
Author_Institution :
Dept. of Electr. Eng., Natal Univ., Durban, South Africa
Abstract :
The estimation of a synchronous machine´s electrical parameters using an extended Kalman filter (EKF) is proposed. The estimation method is evaluated using digital computer simulations as well as practical measurements on a microalternator. The captured data are used, together with an initial set of machine parameters, as input to an EKF to estimate an improved set of parameters. Results indicate that the parameter estimation method is valid under certain conditions but that with high-order models, it is computationally intensive and that certain parameter estimates are noise sensitive
Keywords :
Kalman filters; digital simulation; machine testing; machine theory; parameter estimation; power system analysis computing; synchronous machines; digital computer simulations; extended Kalman filter; machine testing; machine theory; microalternator; parameter estimation; synchronous machine; Couplings; Damping; Electric resistance; Machine windings; Parameter estimation; Performance evaluation; Shock absorbers; Stator windings; Synchronous machines; Voltage;
Journal_Title :
Industry Applications, IEEE Transactions on