• DocumentCode
    1358849
  • Title

    Advanced transformer control modeling in an optimal power flow using Newton´s method

  • Author

    Acha, E. ; Ambriz-Perez, H. ; Fuerte-Esquivel, C.R.

  • Author_Institution
    Dept. of Electron. & Electr. Eng., Glasgow Univ., UK
  • Volume
    15
  • Issue
    1
  • fYear
    2000
  • fDate
    2/1/2000 12:00:00 AM
  • Firstpage
    290
  • Lastpage
    298
  • Abstract
    This paper reports on advanced transformer modeling facilities suitable for large-scale optimal power flow studies. The new transformer models are developed from first principles and incorporated into an existing Newton-based optimal power flow computer program for highly robust iterative solutions. A three-winding transformer model with tap ratios in all three windings is shown to be a general case for existing two-winding transformer models and the classic load tap-changing and phase-shifting transformer models. The newly developed transformer models add a great deal to software flexibility and are amenable to more realistic electric energy studies. This is partly due to the transformer models being fitted with complex tap changers in each winding and a nonlinear representation of the magnetizing branch. The three-winding transformer model interfaces easily with reactive power plant models, e.g., static VAr compensators
  • Keywords
    Newton method; load flow; power transformers; FACTS; Newton´s method; Newton-based optimal power flow computer program; electric energy studies; highly robust iterative solutions; load tap-changing model; magnetizing branch; optimal power flow; phase-shifting transformer model; reactive power plant models; static VAr compensators; tap ratios; three-winding transformer model; transformer control modeling; Circuit faults; Context modeling; Large-scale systems; Load flow; Magnetic levitation; Newton method; Optimal control; Power system modeling; Reactive power; Saturation magnetization;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/59.852135
  • Filename
    852135