Synchronous generator model identification and parameter estimation from operating data

Autor: G.T. Heydt, H.B. Karayaka, Ali Keyhani, D.A. Selin, B.L. Agrawal
Rok vydání: 2003
Předmět:
Zdroj: IEEE Transactions on Energy Conversion. 18:121-126
ISSN: 0885-8969
DOI: 10.1109/tec.2002.808347
Popis: 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.
Databáze: OpenAIRE