• DocumentCode
    3185226
  • Title

    Out-of-step protection with AI methods

  • Author

    Rebizant, W. ; Feser, K.

  • Author_Institution
    Wroclaw Univ. of Technol., Poland
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    295
  • Lastpage
    298
  • Abstract
    In the paper the results of investigations on the application of artificial intelligence (AI) methods to the out-of-step (OS) protection of synchronous machines are presented. The main efforts have been focused on development of new artificial neural network (ANN) based and mixed protection techniques which should ensure better (faster and more secure) detection of generator loss of synchronism. The designed AI-based OS protection schemes have been thoroughly optimised and tested with EMTP-generated case signals. Wide robustness analysis as well as comparison with chosen standard OS detection method have also been performed
  • Keywords
    fuzzy neural nets; inference mechanisms; machine protection; power engineering computing; synchronous generators; AI methods; EMTP-generated case signals; artificial neural network; fuzzy inference system; generator loss of synchronism detection; mixed protection techniques; out-of-step protection; robustness analysis; synchronous machines;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Developments in Power System Protection, 2001, Seventh International Conference on (IEE)
  • Conference_Location
    Amsterdam
  • ISSN
    0537-9989
  • Print_ISBN
    0-85296-732-2
  • Type

    conf

  • DOI
    10.1049/cp:20010158
  • Filename
    929321