• DocumentCode
    135434
  • Title

    Tracking the machine states using a linear phasor estimator assisted dynamic state estimator

  • Author

    Rouhani, A. ; Abur, Ali

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Northeastern Univ., Boston, MA, USA
  • fYear
    2014
  • fDate
    27-31 July 2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper is concerned about efficiently performing dynamic state estimation in very large scale power systems. Unlike the commonly used approach of approximating bus loads as constant impedances and using a reduced system model, this paper relies on a phasor based linear state estimator that uses the detailed system model to obtain the bus voltage estimates at a fast rate, thus eliminating the need to model loads. Moreover, the computational effort associated with dynamic state estimation is reduced by strategically dividing the system into small size zones and carrying out the dynamic state estimation independently for each one. As an illustration, dynamic state variables of a two-axis synchronous generator with IEEE-Type1 Exciter are estimated based on the proposed approach. The issue of possible synchronization errors among measurements is also addressed.
  • Keywords
    phasor measurement; power system state estimation; synchronisation; synchronous generators; IEEE-Type1 Exciter; bus voltage estimation; dynamic state variables; linear phasor estimator assisted dynamic state estimator; machine state tracking; synchronization errors; two-axis synchronous generator; Equations; Generators; Mathematical model; Power system dynamics; State estimation; Transmission line measurements; Voltage measurement; Dynamic Loads; Dynamic State Estimation; Power Systems Dynamics; Unscented Kalman Filter (UKF);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    PES General Meeting | Conference & Exposition, 2014 IEEE
  • Conference_Location
    National Harbor, MD
  • Type

    conf

  • DOI
    10.1109/PESGM.2014.6939364
  • Filename
    6939364