• DocumentCode
    2015371
  • Title

    Online electromechanical modes identification using PMU data

  • Author

    Rios, Mario A. ; Ordonez, C.A.

  • Author_Institution
    Dept. of Electr. Eng. & Electron., Univ. de los Andes, Bogota, Colombia
  • fYear
    2013
  • fDate
    16-20 June 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper proposes the identification of electromechanical modes based on signals obtained from Phasor Measurement Unit using a moving time window and a growing window during the post-disturbance state, considering both Prony´s method and the Hankel´s total least square method. Results show that the two methods can be used for online identification of oscillation modes; however, the moving window must not be shorter than the period of the lowest frequency determined by offline Eigenvalues analysis.
  • Keywords
    eigenvalues and eigenfunctions; least squares approximations; phasor measurement; Hankel total least square method; PMU data; Prony method; offline Eigenvalues analysis; online electromechanical mode identification; oscillation mode online identification; phasor measurement unit; post-disturbance state; Damping; Monitoring; Oscillators; Phasor measurement units; Power measurement; Power system dynamics; Power system stability; Online monitoring; PMU; Power System Stability; System Identification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    PowerTech (POWERTECH), 2013 IEEE Grenoble
  • Conference_Location
    Grenoble
  • Type

    conf

  • DOI
    10.1109/PTC.2013.6652088
  • Filename
    6652088