Title :
The rough set theory applied 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 :
DEE, Inst. Superior de Engenharia de Coimbra, Portugal
Abstract :
In the last years the importance of the security analysis has been increasing, due to economical and environment constrains. The operation of an electrical power system is a complex task due to the high degree of uncertainty and the large number of parameters involved. This paper is devoted to the presentation of an efficient steady-state contingency classification using the rough set theory. The developed technique produces a classification of the system operating in four possible states. The powerful methodology developed was applied to a test power network in four different scenarios. The numerical results were compared and analysed in order to obtained important conclusions that provide a valuable contribution to the understanding of the power system security problem.
Keywords :
classification; power system economics; power system security; rough set theory; economical-environment constrains; electrical power system; power networks; power system security; rough set theory; steady-state contingency classification; Control systems; Data security; Expert systems; Information security; Power system analysis computing; Power system economics; Power system planning; Power system security; Set theory; Steady-state;
Conference_Titel :
Universities Power Engineering Conference, 2004. UPEC 2004. 39th International
Conference_Location :
Bristol, UK
Print_ISBN :
1-86043-365-0