• DocumentCode
    3424753
  • Title

    On complex network approach for fault detection in power grids

  • Author

    Yu, Xinghuo ; Dwivedi, Ajendra ; Sokolowski, Peter

  • Author_Institution
    Sch. of Electr. & Comput. Eng., RMIT Univ., Melbourne, VIC, Australia
  • fYear
    2009
  • fDate
    9-11 Dec. 2009
  • Firstpage
    13
  • Lastpage
    16
  • Abstract
    The latest developments in complex network theory have provided a new direction for power system research. Based on this theory a power system can be modeled as a graph with nodes and vertices and further analysis can help in addressing typical problems such as identifying the vulnerable lines and pole fires, and locating faults. This paper reports some of our recent research in this area and discusses some potential areas in power grids where the complex network theory can be used.
  • Keywords
    fault location; graph theory; power grids; complex network theory; fault detection; graph theory; pole fires; power grids; Biological system modeling; Complex networks; Electrical fault detection; Fault detection; Fires; Power grids; Power system analysis computing; Power system faults; Power system modeling; Power systems; Complex network theory; cascading failures; fault location; pole fires; power grid;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Automation, 2009. ICCA 2009. IEEE International Conference on
  • Conference_Location
    Christchurch
  • Print_ISBN
    978-1-4244-4706-0
  • Electronic_ISBN
    978-1-4244-4707-7
  • Type

    conf

  • DOI
    10.1109/ICCA.2009.5410218
  • Filename
    5410218