• DocumentCode
    693046
  • Title

    Study on critical lines identification

  • Author

    Min Li ; Lixiong Xu ; Hui Gong ; Zhaoou Song ; Lijie Ding ; Junyong Liu

  • Author_Institution
    Sichuan Electr. Power Res. Inst., Chengdu, China
  • fYear
    2013
  • fDate
    20-22 Dec. 2013
  • Firstpage
    3132
  • Lastpage
    3135
  • Abstract
    Critical lines may have serious impacts on large scale blackouts and cascading failures in power grids. Based on complex network theory and network flow theory, the flow betweenness is proposed as line critical index, which measures the constraint degree of network transmission capability. The drop of net-ability and the fault critical clearing time are chosen to confirm the vulnerability of lines identified by the presented method. Numeric example of IEEE 39-bus system demonstrates that the proposed method is effective and practical, and the max-flow betweenness can reflect the specific features of both operation state and network structure.
  • Keywords
    complex networks; fault diagnosis; network theory (graphs); power transmission faults; power transmission reliability; IEEE 39-bus system; cascading failures; complex network theory; critical lines identification; fault critical clearing time; flow betweenness; large scale blackouts; line critical index; max-flow betweenness; network flow theory; network transmission capability; power grids; Bismuth; Fluid flow measurement; Indexes; Sun; complex network; critical lines; flow betweenness; max-flow; vulnerability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronic Sciences, Electric Engineering and Computer (MEC), Proceedings 2013 International Conference on
  • Conference_Location
    Shengyang
  • Print_ISBN
    978-1-4799-2564-3
  • Type

    conf

  • DOI
    10.1109/MEC.2013.6885563
  • Filename
    6885563