• DocumentCode
    2321133
  • Title

    Comparison of two thermal circuit models for HST calculation of oil-immersed transformers

  • Author

    Jiang, Taosha ; Sun, Caixin ; Li, Jian ; Chen, Weigen ; Zhao, Tao

  • Author_Institution
    State Key Lab. of Safety & New Technol. of Power Transm.&Distrib., Chongqing Univ., Chongqing
  • fYear
    2008
  • fDate
    21-24 April 2008
  • Firstpage
    1008
  • Lastpage
    1011
  • Abstract
    Oil-immersed transformers are key components in power systems. The inordinate temperature rise in oil-immersed transformers, featured by hot-spot temperature (HST), accelerates thermal degradation in insulation. This phenomenon may result in reduction of service age or thermal breakdowns of transformers. HST is also an important parameter to determine the optimum load ability of transformers. A procedure to calculate HST with parameters, including load current, ambient temperature, and top oil temperature is recommended by IEEE and IEC. The recommended method has been proved to be effective. This paper presents two equivalent thermal circuit models for transformers, revealing the relationship between HST and featured oil temperatures, which are the top oil temperature (TOT) and the bottom oil temperature (BOT). The calculation results of the thermal models are compared with measured data obtained from an ONAN, 100 kVA and 5 kV test transformer equipped with temperature probes.
  • Keywords
    electric breakdown; power transformer insulation; power transformer testing; transformer oil; HST calculation; apparent power 100 kVA; bottom oil temperature; equivalent thermal circuit models; hot-spot temperature; oil oil-immersed transformers; optimum load ability; thermal breakdowns; thermal degradation; top oil temperature; voltage 5 kV; Acceleration; Circuits; Electric breakdown; IEC; Oil insulation; Petroleum; Power system modeling; Power transformer insulation; Temperature; Thermal degradation; hot spot; temperature;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Condition Monitoring and Diagnosis, 2008. CMD 2008. International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-1621-9
  • Electronic_ISBN
    978-1-4244-1622-6
  • Type

    conf

  • DOI
    10.1109/CMD.2008.4580452
  • Filename
    4580452