DocumentCode
715085
Title
Identification of critical components of composite power systems using minimal cut sets
Author
Lami, Badr ; Bhattacharya, Kankar
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of Waterloo, Waterloo, ON, Canada
fYear
2015
fDate
18-20 Feb. 2015
Firstpage
1
Lastpage
5
Abstract
Reliability evaluation plays an important role in system analysis, design, upgrades, and operations, especially in composite power systems. This paper presents a reliability assessment method for composite power system using the minimal cut set calculations. The objective is to to detect critical components in order to help planners to make economic decisions on new investments in generation capacities and transmission lines upgrades, also to help operators maintain the delivery of electricity during system failure and disturbance events. This paper focuses on the evaluation of composite system reliability under steady state conditions, and assessing operational risks in real-time system operations using direct probabilistic analysis techniques and hence identify the critical components. The concepts and developed model are illustrated by application to the 6-bus Roy Billinton Test System (RBTS).
Keywords
power system faults; power system reliability; probability; set theory; 6-bus Roy Billinton test system; composite power system; composite power systems; composite system reliability evaluation; critical components identification; direct probabilistic analysis techniques; disturbance events; economic decisions; generation capacities; minimal cut set calculations; real-time system operations; reliability assessment method; steady state conditions; system failure; transmission lines upgrades; Generators; Markov processes; Power system reliability; Power transmission lines; Probability; Reliability; Critical components; minimal cut sets; operational risk;
fLanguage
English
Publisher
ieee
Conference_Titel
Innovative Smart Grid Technologies Conference (ISGT), 2015 IEEE Power & Energy Society
Conference_Location
Washington, DC
Type
conf
DOI
10.1109/ISGT.2015.7131786
Filename
7131786
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