• DocumentCode
    3229783
  • Title

    Using local models identification to power system stabilizers design at Tucurui´s hydroelectric power plant

  • Author

    Tavares-Da-Costa, Carlos, Jr. ; Rothe-Neves, Max ; Barra, Walter, Jr. ; Barreiros, Jose Augusto Lima ; Ferreira, Andre Mauricio Damasceno ; De Almeida, Carlos Rezende ; De Lana, Janio Jose

  • Author_Institution
    Fed. Univ. of Para, Brazil
  • fYear
    2004
  • fDate
    8-11 Nov. 2004
  • Firstpage
    782
  • Lastpage
    787
  • Abstract
    Tucurui´s hydroelectric power plant, the second largest Brazilian electric plant, is one proper site to deal with bad damping electromechanical oscillations problem, because of its interconnection with two others large electrical systems (CHESF and FURNAS). The most usual way to minimize this problem, increasing power system dynamic stability margins, is to apply power system stabilizers, which are responsible for creating an additional damping signal in the generator excitation system. Tucurui´s power system stabilizers, although fixed-parameter controllers, must be tuned properly to have good performance in any system operating condition. This work objective is to obtain updated linear system models from local signals measured in Tucurui´s generators. System identification techniques, recursive and nonrecursive, have been used to obtain these linear models, that will be used later in fixed-parameter or even adaptive power system stabilizers design.
  • Keywords
    damping; hydroelectric power stations; least mean squares methods; oscillations; power system control; power system dynamic stability; power system interconnection; power system measurement; power system parameter estimation; recursive estimation; Brazilian electric plant; CHESF; FURNAS; Tucuruis hydroelectric power plant; adaptive power system stabilizer; damping electromechanical oscillation; electrical system interconnection; fixed-parameter controller; generator excitation system; least square method; linear system model; nonrecursive technique; power system dynamic stability; power system identification; power system measurement; power system parameter estimation; recursive technique; Control systems; Damping; Linear systems; Power generation; Power system dynamics; Power system interconnection; Power system measurements; Power system modeling; Power system stability; Signal generators;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Transmission and Distribution Conference and Exposition: Latin America, 2004 IEEE/PES
  • Print_ISBN
    0-7803-8775-9
  • Type

    conf

  • DOI
    10.1109/TDC.2004.1432481
  • Filename
    1432481