• DocumentCode
    2232437
  • Title

    Modal phase identification from WAMS data using Hilbert transform and S-transform: A comparative study

  • Author

    Prince, A. ; Senroy, N. ; Balasubramanian, R.

  • Author_Institution
    Centre for Energy Studies, Indian Inst. of Technol., New Delhi, India
  • fYear
    2011
  • fDate
    22-24 Sept. 2011
  • Firstpage
    183
  • Lastpage
    187
  • Abstract
    Power system oscillation mode identification and its characterization are very important in monitoring and control. In this paper, the phase and frequency information extraction procedure from Wide Area Measurements using two methods, viz Hilbert transform and S-transform methods are compared. Identification of inter area modes and their characterization is done. Synthetic as well as real time signals are used to extract the modal information. Modal frequencies are extracted from the WAMS signals recorded in the Eastern Interconnect Phasor Project (EIPP) on 20th July 2005 and is used for phase angle identification.
  • Keywords
    Hilbert transforms; power system control; power system interconnection; power system measurement; EIPP; Eastern Interconnect Phasor Project; Hilbert transform; S-transform; WAMS data; frequency information extraction; inter area modes; modal phase identification; power system control; power system monitoring; power system oscillation mode identification; wide area measurements; Oscillators; Phasor measurement units; Power systems; Real time systems; Time frequency analysis; Transforms; Wide area measurements; Empirical mode decomposition (EMD); Frequency information; Hilbert transforms; S-transform; inter area oscillations; power system dynamics; wide area measurements (WAMS);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Recent Advances in Intelligent Computational Systems (RAICS), 2011 IEEE
  • Conference_Location
    Trivandrum
  • Print_ISBN
    978-1-4244-9478-1
  • Type

    conf

  • DOI
    10.1109/RAICS.2011.6069298
  • Filename
    6069298