• DocumentCode
    3487672
  • Title

    Application of the rough set theory to the steady - state contingency classification

  • Author

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

  • Author_Institution
    Inst. Super. de Eng. de Coimbra, Coimbra
  • fYear
    2005
  • fDate
    27-30 June 2005
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Due to economic and environmental constraints electric utilities are forced to operate their power networks close to the capacity limits or in overload conditions. So, security analysis plays a very important role during the design, planning and operation stages. In this paper it is proposed an efficient steady-state contingency classification methodology that uses the rough set theory. The developed technique produces a classification of the system operating in four different states. The powerful methodology was applied to the 118 IEEE test power system. Finally, the numerical results were compared and analysed in order to obtain conclusions that provide a valuable contribution to the understanding of the power system security problem.
  • Keywords
    environmental factors; power system security; rough set theory; 118 IEEE test power system; environmental constraints electric utilities; overload conditions; power system security problem; rough set theory; steady-state contingency classification; Control systems; Data security; Expert systems; Information security; Power system analysis computing; Power system planning; Power system security; Set theory; State estimation; Steady-state; Electric Power Systems; Rough Set Theory; Security Analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Tech, 2005 IEEE Russia
  • Conference_Location
    St. Petersburg
  • Print_ISBN
    978-5-93208-034-4
  • Electronic_ISBN
    978-5-93208-034-4
  • Type

    conf

  • DOI
    10.1109/PTC.2005.4524734
  • Filename
    4524734