• DocumentCode
    2978869
  • Title

    Estimation of simplified transient model parameters using genetic algorithm

  • Author

    Bigdeli, Mehdi ; Rahimpour, Ebrahim

  • Author_Institution
    Zanjan Branch, Islamic Azad Univ., Zanjan, Iran
  • fYear
    2010
  • fDate
    11-13 May 2010
  • Firstpage
    722
  • Lastpage
    726
  • Abstract
    A proper model is proposed in this paper for transient analysis of distribution transformers. The model is capable of representing the impedance or admittance characteristics of the transformer measured from the terminals under different terminal connections up to approximately 200 kHz. The model is simple, so that the simulation with this model is easy and fast. It is feasible to use the model as a two port element by network analyzing. To estimation of model parameters genetic algorithm have been used. The first stage, all necessary tests are carried out on the 2500 KVA, 6300/420 V transformer. Thereafter, the model parameters are estimated using genetic algorithm toolbox in MATLAB. The comparison between calculated and measured quantities confirms that the accuracy of the proposed method in the middle transient frequency domain is satisfactory.
  • Keywords
    Admittance measurement; Frequency measurement; Genetic algorithms; Impedance measurement; MATLAB; Mathematical model; Parameter estimation; Testing; Transformers; Transient analysis; Genetic Algorithm; Measurement; Parameter Estimation; Simulation; Transformer; Transient State;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Engineering (ICEE), 2010 18th Iranian Conference on
  • Conference_Location
    Isfahan, Iran
  • Print_ISBN
    978-1-4244-6760-0
  • Type

    conf

  • DOI
    10.1109/IRANIANCEE.2010.5506978
  • Filename
    5506978