On-line parameter estimation of saturated synchronous machines

Gustavo Valverde, Elias Kyriakides, Gerald T. Heydt, Vladimir Terzija

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Citations (Scopus)

Abstract

This paper presents a novel method based on the Unscented Kalman Filter (UKF) to estimate the saturated parameters of synchronous machines. The proposed methodology uses voltage and current measurements taken from the stator and the field windings to update the parameters of the synchronous machine during steady state operation. The method also utilizes measurements of the power angle in order to relate the measurements (in abc components) with the voltage equations in the qd0 reference frame. The proposed methodology has been tested and validated for a saturated synchronous machine.

Original languageEnglish
Title of host publication2011 IEEE PES General Meeting
Subtitle of host publicationThe Electrification of Transportation and the Grid of the Future
DOIs
Publication statusPublished - 2011
Externally publishedYes
Event2011 IEEE PES General Meeting: The Electrification of Transportation and the Grid of the Future - Detroit, MI, United States
Duration: 24 Jul 201128 Jul 2011

Publication series

NameIEEE Power and Energy Society General Meeting
ISSN (Print)1944-9925
ISSN (Electronic)1944-9933

Conference

Conference2011 IEEE PES General Meeting: The Electrification of Transportation and the Grid of the Future
Country/TerritoryUnited States
CityDetroit, MI
Period24/07/1128/07/11

Keywords

  • parameter estimation
  • saturation
  • synchronous machines
  • Unscented Kalman Filter

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