• DocumentCode
    272765
  • Title

    Smart grids Part 2: Synchrophasor measurement challenges

  • Author

    de la O Serna, José Antonio ; Vázquez Martínez, Ernesto

  • Author_Institution
    UANL, Monterrey, Mexico
  • Volume
    18
  • Issue
    1
  • fYear
    2015
  • fDate
    Feb-15
  • Firstpage
    13
  • Lastpage
    16
  • Abstract
    Smart grids pose two sorts of interesting challenges to phasor measurement techniques. The main challenge results from estimating the parameters of voltage and current signals. It has been a hot topic since the advent of the phasor measurement unit (PMU) in the acquisition of synchrophasors of a power system under dynamic conditions. There are several research groups working in this field who have published recent exemplary papers [1]-[4]. They investigated the important role played by the IEEE Synchrophasor Standard [5] in this endeavor. The other incipient problem is the electromechanical mode identification field. In this case, new phasor estimation methods are recently competing with the well-known Prony Method (Chap. 1 of [6]) or the Hilbert- Huang technique (Chap. 2-3 of [6]) to decompose a power oscillation into its dynamic modes.
  • Keywords
    IEEE standards; parameter estimation; phasor measurement; smart power grids; Hilbert-Huang technique; IEEE synchrophasor standard; PMU; Prony method; current signal parameter estimation; electromechanical mode identification field; phasor estimation method; phasor measurement unit; power oscillation decomposition; power system synchrophasor; smart grid; synchrophasor measurement challenge; voltage signal parameter estimation; Discrete Fourier transforms; Harmonic analysis; Oscillators; Phasor measurement units; Power system dynamics; Power system stability; Smart grids;
  • fLanguage
    English
  • Journal_Title
    Instrumentation & Measurement Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    1094-6969
  • Type

    jour

  • DOI
    10.1109/MIM.2015.7016675
  • Filename
    7016675