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 contribution

3 Scopus citations

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 (US)
Title of host publication2011 IEEE PES General Meeting
Subtitle of host publicationThe Electrification of Transportation and the Grid of the Future
DOIs
StatePublished - Dec 9 2011
Event2011 IEEE PES General Meeting: The Electrification of Transportation and the Grid of the Future - Detroit, MI, United States
Duration: Jul 24 2011Jul 28 2011

Publication series

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

Other

Other2011 IEEE PES General Meeting: The Electrification of Transportation and the Grid of the Future
CountryUnited States
CityDetroit, MI
Period7/24/117/28/11

Keywords

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

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Nuclear Energy and Engineering
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering

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