• DocumentCode
    3665986
  • Title

    Dynamic state estimation-based protection of power transformers

  • Author

    Rui Fan;A. P. Sakis Meliopoulos;G. J. Cokkinides;Liangyi Sun; Yu Liu

  • Author_Institution
    School of Electrical and Computer Engineering, Georgia Institute of Technology, USA
  • fYear
    2015
  • fDate
    7/1/2015 12:00:00 AM
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Power transformers are expensive and critical power system components. Reliable and secure protection schemes for transformers are extremely important. While transformer protection has evolved to a high degree of sophistication they cannot ensure 100% reliable and secure protection. A new transformer protection scheme based on dynamic state estimation is proposed. The dynamic transformer state is continuously estimated from measurements and the protective decision is based on the transformer state only (operating condition or health status). This scheme requires very few and simple settings, such as maximum permissible hot spot temperature. The protection algorithm is object-oriented. Specifically, the transformer model is expressed in a standard format, named the algebraic quadratic companion form (AQCF) and the dynamic state estimation operates directly on this object model. The method has been demonstrated in the laboratory. The paper describes the laboratory hardware. An example transformer protection is presented for a 115/25 kV three-phase transformer. Results verify the advantages of this scheme over traditional methods.
  • Keywords
    "Power transformers","Temperature measurement","Object oriented modeling","Surges","Surge protection","State estimation","Relays"
  • Publisher
    ieee
  • Conference_Titel
    Power & Energy Society General Meeting, 2015 IEEE
  • ISSN
    1932-5517
  • Type

    conf

  • DOI
    10.1109/PESGM.2015.7286463
  • Filename
    7286463