• 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