• DocumentCode
    135134
  • Title

    Online estimation of power system actual frequency response characteristic

  • Author

    Apostolopoulou, Dimitra ; Dominguez-Garcia, Alejandro D. ; Sauer, P.W.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Illinois at Urbana-Champaign, Urbana, IL, USA
  • fYear
    2014
  • fDate
    27-31 July 2014
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In power systems, the system frequency as well as the real power interchange between balancing authority areas must be maintained at the nominal value and the scheduled values, respectively. To this end, the area control error (ACE), which incorporates information about potential mismatches in the values of these two quantities, is calculated and fed to the automatic generation control (AGC) system, the goal of which is to drive the ACE to zero. The purpose of this paper is to present a systematic method to estimate, in real time, the actual frequency response characteristic (AFRC) and to use it in the ACE calculation. In such a case, the AGC system only reacts to internal disturbances and not to external ones. To do so, we use a simplified model to represent power system dynamics, and a sliding exponentially weighted window blockwise least squares algorithm for the estimation of the AFRC. The proposed methodology is illustrated in the 9-bus 3-machine WECC system model, and in a 140-bus 48-machine system.
  • Keywords
    frequency response; least squares approximations; power generation control; 140-bus 48-machine system; 9-bus 3-machine WECC system model; ACE; AFRC; AGC system; actual frequency response characteristic; area control error; automatic generation control system; balancing authority areas; least squares algorithm; online estimation; power system dynamics; Automatic generation control; Barium; Estimation; Frequency control; Frequency estimation; Generators; Power systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    PES General Meeting | Conference & Exposition, 2014 IEEE
  • Conference_Location
    National Harbor, MD
  • Type

    conf

  • DOI
    10.1109/PESGM.2014.6939140
  • Filename
    6939140