Synchronous generator model identification and parameter estimation from operating data

H. Bora Karayaka, Ali Keyhani, Gerald Thomas Heydt, Baj L. Agrawal, Douglas A. Selin

Research output: Contribution to journalArticlepeer-review

72 Scopus citations

Abstract

A novel technique to estimate and model parameters 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 Lds and Lqs 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.

Original languageEnglish (US)
Pages (from-to)121-126
Number of pages6
JournalIEEE Transactions on Energy Conversion
Volume18
Issue number1
DOIs
StatePublished - Mar 2003

Keywords

  • Armature circuit and rotor body parameters
  • Large utility generators
  • Parameter identification

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Synchronous generator model identification and parameter estimation from operating data'. Together they form a unique fingerprint.

Cite this