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

    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. © 2011 IEEE.
    Original languageEnglish
    Title of host publicationIEEE Power and Energy Society General Meeting|IEEE Power Energy Soc. Gen. Meet.
    DOIs
    Publication statusPublished - 2011
    Event2011 IEEE PES General Meeting: The Electrification of Transportation and the Grid of the Future - Detroit, MI
    Duration: 1 Jul 2011 → …

    Conference

    Conference2011 IEEE PES General Meeting: The Electrification of Transportation and the Grid of the Future
    CityDetroit, MI
    Period1/07/11 → …

    Keywords

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

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