• DocumentCode
    715136
  • Title

    Synchronization of unbalanced three phase voltages with nonlinear estimation

  • Author

    Darvish, Hossein ; Xin Wang

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Southern Illinois Univ. Ed-wardsville, Edwardsville, IL, USA
  • fYear
    2015
  • fDate
    18-20 Feb. 2015
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Smart grid synchronization is an important concern due to the increasing deployment of Distributed Power Generation Systems. Nonlinear estimation techniques based on synchronization algorithm are proposed to track both of the voltage magnitude and phase angle of utility network. Instead of directly analyzing in natural abc coordinate frame, by resorting to symmetrical component transformation, the proposed algorithm separate the positive, negative and zero sequences into the transformed αβ stationary reference frame. Based on the results on the αβ coordinate frame, nonlinear estimation techniques are developed to track both of the in-phase and quadrature sinusoidal voltages. Matlab simulations have shown the efficacy of our proposed nonlinear estimation methods involving the Extended Kalman Filter and the Unscented Kalman Filter. It also shows that the UKF is a more accurate and reliable method for power synchronization.
  • Keywords
    Kalman filters; distributed power generation; nonlinear estimation; nonlinear filters; smart power grids; synchronisation; distributed power generation systems; extended Kalman filter; in-phase sinusoidal voltages; nonlinear estimation techniques; phase angle; power synchronization; quadrature sinusoidal voltages; smart grid synchronization; symmetrical component transformation; synchronization algorithm; transformed αβ stationary reference frame; unscented Kalman filter; utility network; voltage magnitude; Distributed power generation; Estimation; Kalman filters; Mathematical model; Noise; Smart grids; Synchronization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Smart Grid Technologies Conference (ISGT), 2015 IEEE Power & Energy Society
  • Conference_Location
    Washington, DC
  • Type

    conf

  • DOI
    10.1109/ISGT.2015.7131864
  • Filename
    7131864