• DocumentCode
    1982471
  • Title

    Identification of small signal oscillation mode parameters from simulated and actual PMU ringdown data

  • Author

    Iswadi, HR ; Best, Robert J. ; John Morrow, D.

  • Author_Institution
    Energy, Power and Intelligent Control (EPIC), Queen´s University Belfast, Ashby Building, Stranmillis Road, BT95AH, United Kingdom
  • fYear
    2015
  • fDate
    June 29 2015-July 2 2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper presents the practical use of Prony Analysis to identify small signal oscillation mode parameters from simulated and actual phasor measurement unit (PMU) ringdown data. A well-known two-area four-machine power system was considered as a study case while the latest PMU ringdown data were collected from a double circuit 275 kV main interconnector on the Irish power system. The eigenvalue analysis and power spectral density were also conducted for the purpose of comparison. The capability of Prony Analysis to identify the mode parameters from three different types of simulated PMU ringdown data has been shown successfully. Furthermore, the results indicate that the Irish power system has dominant frequency modes at different frequencies. However, each mode has good system damping.
  • Keywords
    Damping; Generators; Integrated circuit interconnections; Oscillators; Phasor measurement units; Power system stability; eigenvalue analysis; mode parameters; phasor measurement unit; power spectral density; prony analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    PowerTech, 2015 IEEE Eindhoven
  • Conference_Location
    Eindhoven, Netherlands
  • Type

    conf

  • DOI
    10.1109/PTC.2015.7232327
  • Filename
    7232327