• DocumentCode
    151732
  • Title

    New global parameter estimation method for a transformer detailed model

  • Author

    Gomez, Hector D. ; Mombello, Enrique E.

  • Author_Institution
    Inst. de Energia Electr., Univ. Nac. de San Juan, San Juan, Argentina
  • fYear
    2014
  • fDate
    10-13 Sept. 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The RLCM parameters of the ladder network detailed model of a transformer winding are obtained using a new estimation method based on frequency response measurements on transformer terminals. The estimation problem is reformulated from electromagnetic formulations used in the model evaluation algorithm. A multi-objective global search for solutions is performed by means of a genetic algorithm in a space of reduced and fixed dimension. The coupling characteristic is intrinsic to the model, thereby avoiding inductive inequality constraints. The proposed method is characterized by its simplicity, high physical cohesion, good conditioning and computational efficiency.
  • Keywords
    frequency response; genetic algorithms; search problems; transformer windings; RLCM parameters; frequency response measurements; genetic algorithm; global parameter estimation method; inductive inequality constraints; ladder network; model evaluation algorithm; multiobjective global search; transformer detailed model; transformer winding; Coils; Current measurement; Frequency measurement; Inductance; Integrated circuit modeling; Mathematical model; Windings; Parameter estimation; RLCM model for transformer windings; computational efficiency; filament method; frequency response analysis (FRA); genetic algorithms; multi-objective optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Transmission & Distribution Conference and Exposition - Latin America (PES T&D-LA), 2014 IEEE PES
  • Conference_Location
    Medellin
  • Print_ISBN
    978-1-4799-6250-1
  • Type

    conf

  • DOI
    10.1109/TDC-LA.2014.6955233
  • Filename
    6955233