On-line synchronous machine parameter estimation from small disturbance operating data

Author

Tsai, H. ; Keyhani, A. ; Demcko, J. ; Farmer, R.G.

Author_Institution

Ohio State Univ., Columbus, OH, USA

Volume

10

Issue

1

fYear

1995

fDate

3/1/1995 12:00:00 AM

Firstpage

25

Lastpage

36

Abstract

This paper presents a step-by-step system identification approach to estimate the parameters of a three-phase salient-pole synchronous machine rated at 5 kVA from online small disturbance responses. The machine equivalent circuit model linear parameters and the nonlinear saturated parameters are estimated. The estimation is performed using the maximum likelihood algorithm. Simulation studies based on the online measured small and large dynamic disturbances are performed to validate the accuracy of the identified machine model including the saturation

Keywords

equivalent circuits; machine theory; maximum likelihood estimation; probability; synchronous machines; 500 kVA; accuracy; equivalent circuit model; linear parameters; maximum likelihood algorithm; nonlinear saturated parameters; parameter estimation; saturation; simulation; small disturbance response; system identification; three-phase salient-pole synchronous machine; Circuit simulation; Equivalent circuits; Maximum likelihood estimation; Parameter estimation; Performance evaluation; Samarium; State estimation; Synchronous machines; System testing; Time domain analysis;

fLanguage

English

Journal_Title

Energy Conversion, IEEE Transactions on

Publisher

ieee

ISSN

0885-8969

Type

jour

DOI

10.1109/60.372565

Filename

372565