• DocumentCode
    423373
  • Title

    Electric power systems steady-state security assessment using the rough set theory

  • Author

    Agreira, C. I Faustino ; Ferreira, C. M Machado ; Pinto, J. A Dim ; Barbosa, F. P Maciel

  • Author_Institution
    Dept. of Electr. Eng., Inst. Superior de Engenharia de Coimbra, Portugal
  • fYear
    2004
  • fDate
    16-16 Sept. 2004
  • Firstpage
    873
  • Lastpage
    877
  • Abstract
    In this paper it is proposed an efficient steady-state contingency classification using the rough set theory. The developed methodology produces a classification of the system operating in four possible states: normal, alert, emergency I, and emergency II. The methodology developed by the authors was applied to a test power network and the results obtained were analyzed. Finally, some conclusions that provide a valuable contribution to the understanding of the power system security analysis are pointed out.
  • Keywords
    energy management systems; power system security; rough set theory; alert state; emergency I state; emergency II state; energy management system; normal state; power network; power system security analysis; rough set theory; steady-state contingency classification; Computational modeling; Data security; Databases; Discrete event simulation; Information security; Power system reliability; Power system security; Rough sets; Set theory; Steady-state;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Probabilistic Methods Applied to Power Systems, 2004 International Conference on
  • Conference_Location
    Ames, IA
  • Print_ISBN
    0-9761319-1-9
  • Type

    conf

  • Filename
    1378802