• DocumentCode
    276449
  • Title

    An artificial intelligence approach to transient stability assessment [of power systems]

  • Author

    Akella, Vijay Ahaskar ; Khincha, H.P. ; Kumar, R. Sreerama

  • Author_Institution
    Dept. of Electr. Eng., Indian Inst. of Sci., Bangalore, India
  • fYear
    1991
  • fDate
    5-8 Nov 1991
  • Firstpage
    359
  • Abstract
    An artificial intelligence approach to online transient stability assessment is briefly discussed, and some crucial requirements for this algorithm are identified. Solutions to these are proposed. Some new attributes are suggested so as to reflect machine dynamics and changes in the network. Also a new representative learning set algorithm has been developed
  • Keywords
    Lyapunov methods; artificial intelligence; learning systems; power system analysis computing; stability; Lyapunov methods; algorithm; artificial intelligence; learning set; machine dynamics; power system analysis computing; transient stability;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Advances in Power System Control, Operation and Management, 1991. APSCOM-91., 1991 International Conference on
  • Conference_Location
    IET
  • Print_ISBN
    0-86341-246-7
  • Type

    conf

  • Filename
    154099