• DocumentCode
    3023176
  • Title

    Extended Kalman filter based grid synchronization in the presence of voltage unbalance for smart grid

  • Author

    Sun, Ming ; Sahinoglu, Zafer

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Missouri, Columbia, MO, USA
  • fYear
    2011
  • fDate
    17-19 Jan. 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this paper, grid synchronization for gird-connected power generation systems in the presence of voltage unbalance and frequency variation is considered. A new extended Kalman filter based synchronization algorithm is proposed to track the phase angle of the utility network. Instead of processing the three-phase voltage signal in the abc natural reference frame and resorting to the symmetrical component transformation as in the traditional way, the proposed algorithm separates the positive and negative sequences in the transformed αβ stationary reference frame. Based on the obtained expressions in αβ domain, an EKF is developed to track both the in-phase and quadrature sinusoidal signals together with the unknown frequency. An estimate of the phase angle of the positive sequence is then obtained. As a by-product, estimates of phase angle of negative sequence and grid frequency are also computed. Compared to the commonly used scheme, the proposed algorithm has a simplified structure. The good performance is supported by computer simulations.
  • Keywords
    Kalman filters; distributed power generation; phase estimation; smart power grids; synchronisation; EKF; computer simulations; extended Kalman filter; frequency variation; grid synchronization; grid-connected power generation systems; phase angle estimation; quadrature sinusoidal signals; smart grid; symmetrical component transformation; three-phase voltage signal; utility network; voltage unbalance; Estimation; Frequency estimation; Kalman filters; Mathematical model; Noise; Synchronization; Time frequency analysis; Frequency estimation; grid synchronization; grid-connected power systems; phase angle estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Smart Grid Technologies (ISGT), 2011 IEEE PES
  • Conference_Location
    Hilton Anaheim, CA
  • Print_ISBN
    978-1-61284-218-9
  • Electronic_ISBN
    978-1-61284-219-6
  • Type

    conf

  • DOI
    10.1109/ISGT.2011.5759147
  • Filename
    5759147