• DocumentCode
    645691
  • Title

    Model screening metrics for thermal models of substation distribution transformers

  • Author

    Shruti Rao ; Ming Zhang ; Tylavsky, Daniel

  • Author_Institution
    Sch. of Electr. Comput. & Energy Eng., Arizona State Univ., Tempe, AZ, USA
  • fYear
    2013
  • fDate
    22-24 Sept. 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Dynamic loading of transformers is the term used when the loading capacity is calculated using an appropriate thermal model while taking into account the load magnitude, load shape, thermal limits and external cooling conditions. For transformer dynamic loading, the aim is to estimate the transformer´s maximum dynamic loading capacity without violating the hottest-spot temperature (HST) and top-oil temperature (TOT) thermal limits. These two temperatures are proxy measures of insulation temperature, which can be used to estimate the loss of service life. The accuracy of the TOT and HST predictions is dependent on many things, central to which is the accuracy of the thermal model. This paper introduces metrics that can be used to differentiate between reliable and unreliable transformer thermal models. The two models discussed in this paper for HST and TOT are the non-linear IEEE model and the model developed by the authors using linear regression methods.
  • Keywords
    power transformers; regression analysis; substations; HST; TOT; dynamic loading capacity; external cooling conditions; hottest-spot temperature; insulation temperature; linear regression; load magnitude; load shape; nonlinear IEEE model; proxy measures; screening metrics; substation distribution transformers; thermal limits; thermal models; top-oil temperature; transformer dynamic loading; Cooling; Data models; Load modeling; Mathematical model; Reliability; Temperature measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    North American Power Symposium (NAPS), 2013
  • Conference_Location
    Manhattan, KS
  • Type

    conf

  • DOI
    10.1109/NAPS.2013.6666841
  • Filename
    6666841