• DocumentCode
    2118788
  • Title

    Application of a reduced model to a distributed state estimator

  • Author

    Korres, G.N. ; Contaxis, G.C.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Nat. Tech. Univ. of Athens, Greece
  • Volume
    2
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    999
  • Abstract
    The available state estimators (SE) in control centers utilize the entire network and set of measurements. An alternative option would be to have two SE levels: (i) the first level at the company or regional control center; (ii) the second level at the pool or system wide control center. In this paper a distributed state estimator (DSE) is presented based on the following principles: (i) two-level state estimation; (ii) distributed observability analysis; and (iii) distributed bad data processing. The method is based on the reduced model developed by the authors. The DSE is illustrated with the IEEE 14-bus system
  • Keywords
    observability; power system control; power system state estimation; reduced order systems; IEEE 14-bus system; control centers; distributed bad data processing; distributed observability analysis; distributed state estimator; reduced model; regional control center; two-level state estimation; Area measurement; Data analysis; Data processing; Jacobian matrices; Noise measurement; Observability; Power measurement; Power system modeling; State estimation; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering Society Winter Meeting, 2000. IEEE
  • Print_ISBN
    0-7803-5935-6
  • Type

    conf

  • DOI
    10.1109/PESW.2000.850074
  • Filename
    850074