• DocumentCode
    645641
  • Title

    Phasor measurement units for smart grids: Estimation algorithms and performance issues

  • Author

    Barchi, G. ; Macii, D. ; Petri, Dario

  • Author_Institution
    Dept. of Inf. Eng. & Comput. Sci., Univ. of Trento, Trento, Italy
  • fYear
    2013
  • fDate
    3-5 Oct. 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In the near future, Phasor Meaurement Units (PMUs) are expected to play a key role not only in power transmission networks, but also to monitor power flows within distribution networks. Unfortunately, in order to face the challenges of next-generation smart grids, faster and more accurate techniques have to be developed for measuring waveform phasors, fundamental frequencies and rate of change of such frequencies (ROCOF). While the Standard IEEE C37.118.1-2011 defines clear accuracy and responsiveness boundaries for synchophasor estimation under the effect of different type of disturbances, the proposed limits have sometimes been considered as inadequate for distribution networks (either too strict or too loose). In this paper, after a brief overview of the general PMU architecture, the performance of two classes of phasor estimators (i.e. based on Discrete Fourier Transform and Least Squares optimization, respectively) are shortly, but effectively analyzed and compared both in steady-state and transient conditions.
  • Keywords
    IEEE standards; discrete Fourier transforms; distribution networks; least squares approximations; load flow; phasor measurement; smart power grids; transmission networks; IEEE C37.118.1-2011 standard; discrete Fourier transform; distribution networks; least squares optimization; phasor measurement units; power flows; power transmission networks; smart grids; synchophasor estimation; Accuracy; Estimation; Frequency estimation; Harmonic analysis; Noise; Phasor measurement units; Standards; Phasor Measurement Unit (PMU); power measurement; smart grid; uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    AEIT Annual Conference, 2013
  • Conference_Location
    Mondello
  • Print_ISBN
    978-8-8872-3734-4
  • Type

    conf

  • DOI
    10.1109/AEIT.2013.6666790
  • Filename
    6666790