Title :
Identifying high risk N-k contingencies for online security assessment
Author :
Chen, Qiming ; McCalley, James D.
Author_Institution :
Dept. of Electr. & Comput. Eng., Iowa State Univ., Ames, IA, USA
fDate :
5/1/2005 12:00:00 AM
Abstract :
It is impractical to analyze all of the possible contingencies in a large-scale interconnected power network. Therefore, a standard approach is to analyze only a subset of the contingencies. The normal method of selecting this subset is via use of the so-called N-1 rule. This paper goes a step further by proposing a new method of forming a contingency list, based on substation configuration obtained from topology processing data and probability analysis of protection system failures. This method is particularly suited for online security assessment. Protection system failures assessed include stuck breakers and failure to operate. The method is described via application to a single substation, verified using the IEEE-RTS96, and illustrated using topology data from a large utilities EMS.
Keywords :
fault trees; power engineering computing; power system interconnection; power system protection; power system security; probability; substations; IEEE-RTS96; data transmission; event tree; high risk N-k contingencies; high-order contingency; large-scale interconnected power network; online security assessment; probability analysis; protection system failures; stuck breakers; substation configuration; Circuit faults; Data security; Integrated circuit interconnections; Power system faults; Power system modeling; Power system protection; Power system security; Risk analysis; Substation protection; Topology; Contingency identification; event tree; functional group; high-order contingency; power system; probability order; rare event approximation; security assessment; topology data; transmission;
Journal_Title :
Power Systems, IEEE Transactions on
DOI :
10.1109/TPWRS.2005.846065
