DocumentCode :
2633835
Title :
A Probabilistic Reliability Evaluation of Korea Power System
Author :
Jeongje Park ; Liang, Jeongje Park Wu ; Choi, Jaeseok ; Cha, Junmin
Author_Institution :
Gyeongsang Nat. Univ., Gyeongsang
fYear :
2008
fDate :
18-20 June 2008
Firstpage :
137
Lastpage :
137
Abstract :
Reliability and power quality have been increasingly important in recent years due to a number of black-out events occurring throughout the world. This paper presents a practical method of probabilistic reliability evaluation of Korea Power system by using the Probabilistic Reliability Assessment (PRA) program and Physical and Operational Margins (POM). The case study computes the Probabilistic Reliability Indices (PRI) of Korea Power system as applied PRA and POM. It takes a large number of contingency in load simulations and combines them with a practical method of characterizing the effect of the availabilities of generators, lines and transformers. The effectiveness and future works are illustrated by demonstrations of case study. The case studies of Korea power system are shown that these packages are effective in identifying possible weak points and root causes for likely reliability problems. The potential for these software packages is being explored further for assisting system operators with managing Korea power system.
Keywords :
power engineering computing; power system reliability; probability; software packages; Korea power system; POM; PRA; PRI; operational margins; physical margins; power quality; probabilistic reliability assessment program; probabilistic reliability evaluation; probabilistic reliability indices; software packages; Availability; Character generation; Computational modeling; Packaging; Power quality; Power system management; Power system reliability; Power system simulation; Software packages; Transformers;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Innovative Computing Information and Control, 2008. ICICIC '08. 3rd International Conference on
Conference_Location :
Dalian, Liaoning
Print_ISBN :
978-0-7695-3161-8
Electronic_ISBN :
978-0-7695-3161-8
Type :
conf
DOI :
10.1109/ICICIC.2008.78
Filename :
4603326
Link To Document :
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