Synchronous generator model identification and parameter estimation from operating data

H.B. Karayaka, A. Keyhani, G.T. Heydt, B.L. Agrawal, D.A. Selin
Dept. of Electr. Eng., Ohio State Univ., Columbus, OH, USA

This paper appears in: IEEE Transactions on Energy Conversion
Publication Date: March 2003
On page(s): 121-126
Volume: 18, Issue: 1
ISSN: 0885-8969
Inspec Accession Number: 7551670

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Abstract:
A novel technique to estimate and model parameters of a 460-MVA large steam turbine generator from operating data is presented. First, data from small excitation disturbances are used to estimate linear model armature circuit and field winding parameters of the machine. Subsequently, for each set of steady state operating data, saturable inductances L/sub ds/ and L/sub qs/ are identified and modeled using nonlinear mapping functions-based estimators. Using the estimates of the armature circuit parameters, for each set of disturbance data collected at different operating conditions, the rotor body parameters of the generator are estimated using an output error method (OEM). The developed nonlinear models are validated with measurements not used in the estimation procedure.