• DocumentCode
    1589225
  • Title

    Analyzing power network vulnerability with maximum flow based centrality approach

  • Author

    Dwivedi, Ajendra ; Yu, Xinghuo ; Sokolowski, Peter

  • Author_Institution
    Sch. of Electr. & Comput. Eng., RMIT Univ., Melbourne, VIC, Australia
  • fYear
    2010
  • Firstpage
    336
  • Lastpage
    341
  • Abstract
    Complex network theory has been studied extensively in solving large scale practical problems and the recent developments have given a new direction to power system research. This theory allows modeling a power system as a network and the latest developments incorporate more and more electrical properties as opposed to the topological analysis in the past. In the past, such networks have been analyzed based on shortest path travel and betweenness index. In a power system, the power might not necessarily flow only through the shortest path so this paper proposes a centrality index based on the maximum power flow through the edges. The links which carry more portion of power from the source (generator) to sink (load) are given a higher weight in this analysis. Few simple cases have been explained and then the algorithm has been demonstrated on the IEEE 39 bus system.
  • Keywords
    power system reliability; IEEE 39 bus system; complex network theory; electrical properties; maximum flow based centrality approach; maximum power flow; power network vulnerability; power system research; Complex networks; Large-scale systems; Load flow; Power generation; Power grids; Power system analysis computing; Power system faults; Power system modeling; Power system protection; Robustness; Complex network; cascading failures; maximum flow; minimum cut; power grid; power system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Informatics (INDIN), 2010 8th IEEE International Conference on
  • Conference_Location
    Osaka
  • Print_ISBN
    978-1-4244-7298-7
  • Type

    conf

  • DOI
    10.1109/INDIN.2010.5549398
  • Filename
    5549398