• DocumentCode
    1714754
  • Title

    Complex network theory and graph partitioning: Application to large interconnected networks

  • Author

    Rozel, B. ; Caire, R. ; Hadjsaid, N. ; Rognon, J.-P. ; Tranchita, C.

  • Author_Institution
    G2Elab (Grenoble Electr. Eng. Lab.), Grenoble Inst. of Technol., France
  • fYear
    2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The research of weakness ties in graphs such as interconnected electrical transmission grids is a major concern in large infrastructures´ studies. Some novel methodologies which are developed in advanced topics of complex systems studies and graph theory may be applied to the electrical grid. Indeed, in order to identify the potential cuts of large interconnected networks such as the interconnected European UCTE network first synchronous area, spectral partitioning and other graph weakness assessment have been studied. The use of the third eigenvalue is indeed unconventional, but it leads to useful results, allowing a new analysis of the last event which split the UCTE into three autonomous areas. Potentials and limits of this study are also presented.
  • Keywords
    eigenvalues and eigenfunctions; graph theory; power grids; power system interconnection; power transmission; complex network theory; eigenvalue; graph partitioning; graph theory; graph weakness assessment; interconnected European UCTE network; interconnected electrical transmission grids; spectral partitioning; Benchmark testing; Complex networks; Degradation; Eigenvalues and eigenfunctions; Graph theory; Joining processes; Load forecasting; Power system analysis computing; Power system interconnection; Resists; Complex Networks; Electrical Infrastructure; Interconnected power system; Spectral Partitioning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    PowerTech, 2009 IEEE Bucharest
  • Conference_Location
    Bucharest
  • Print_ISBN
    978-1-4244-2234-0
  • Electronic_ISBN
    978-1-4244-2235-7
  • Type

    conf

  • DOI
    10.1109/PTC.2009.5281807
  • Filename
    5281807