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
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;
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
DOI :
10.1109/PTC.2005.4524734