• DocumentCode
    3566727
  • Title

    Identifying line vulnerability in power system using maximum flow based complex network theory

  • Author

    Jinjian Wang ; Xinghuo Yu ; McGrath, Brendan ; Jiangxia Zhong

  • Author_Institution
    Sch. of Electr. & Comput. Eng., RMIT Univ., Melbourne, VIC, Australia
  • fYear
    2014
  • Firstpage
    3543
  • Lastpage
    3548
  • Abstract
    Vulnerability assessment of power system networks is becoming an essential requirement for minimizing the risk of disastrous power outage events. This paper proposes a novel centrality index which treats the power system as two complex networks: real power flow network and reactive power flow network. Two vulnerability indices (real power flow centrality index and reactive power flow centrality index) are proposed which represent the vulnerability level in two different networks. They are combined using fuzzy logic to generate the system composite centrality index. The analysis is carried out on the IEEE 14 bus system.
  • Keywords
    fuzzy logic; load flow; power system reliability; complex network theory; disastrous power outage event; fuzzy logic; maximum flow; power system line vulnerability; power system networks; reactive power flow centrality index; reactive power flow network; real power flow centrality index; real power flow network; vulnerability assessment; vulnerability index; Complex networks; Fuzzy logic; Generators; Indexes; Mathematical model; Reactive power; Complex network (CN); Vulnerability; centrality index; fuzzy logic; maximum flow; power flow;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics Society, IECON 2014 - 40th Annual Conference of the IEEE
  • Type

    conf

  • DOI
    10.1109/IECON.2014.7049025
  • Filename
    7049025