• DocumentCode
    1683032
  • Title

    Automatic learning methods applied to dynamic security assessment of power systems

  • Author

    PIERRE, JCrBme ; LEBREVELEC, Cyril ; Wehenkel, Louis

  • Author_Institution
    Electr. de France, Clamart, France
  • fYear
    1999
  • Firstpage
    180
  • Abstract
    This paper describes two applications of automatic learning methods applied to the dynamic security assessment of power systems. These studies use a dynamic database describing the dynamic behavior of the French power system This database is the result of a statistical approach applied to power systems security assessment. Through these two studies, the authors expose the potentiality of automatic learning methods and statistical approach applied to dynamic security assessment of power systems.
  • Keywords
    learning (artificial intelligence); power system dynamic stability; power system security; statistical analysis; France; automatic learning methods; dynamic behavior; dynamic database; power system dynamic security assessment; statistical approach; Data security; Databases; Learning systems; Power system analysis computing; Power system dynamics; Power system modeling; Power system protection; Power system security; Power system simulation; Power system stability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electric Power Engineering, 1999. PowerTech Budapest 99. International Conference on
  • Conference_Location
    Budapest, Hungary
  • Print_ISBN
    0-7803-5836-8
  • Type

    conf

  • DOI
    10.1109/PTC.1999.826612
  • Filename
    826612