• DocumentCode
    1643775
  • Title

    Network topological analysis to assess the power smart grid

  • Author

    Moreno, R. ; Torres, A.

  • Author_Institution
    Univ. de los Andes, Bogotá, Colombia
  • fYear
    2012
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    We develop a graph theoretic approach to study topological properties of power smart networks based on the information available into the Network Topology Processor (NTP) which is a module of the Energy Management System (EMS). The NTP module continuously retains and updates electrical system topological information such as node-branch network connectivity, open-ended lines and transformers. We use this information to study two structural properties: the robustness and the connectivity. We explicitly quantify the robustness of the system and identify strongly connected subnetworks. The topological information deduced in this paper is useful for network security assessment of the system. The capabilities of the proposed approach are illustrated on one large scale network. Others topological properties could be studied based on this formulation.
  • Keywords
    energy management systems; graph theory; modules; power system management; power system security; smart power grids; EMS; NTP module; electrical system topological information; energy management system; graph theoretic approach; network security system assessment; network topology processor module; node-branch network connectivity; open-ended line; power smart grid assessment; power smart network topological property analysis; transformer; Eigenvalues and eigenfunctions; Energy management; Network topology; Power transmission lines; Robustness; Transmission line matrix methods; Connectivity; energy management system; network topology processor; robustness; spectral graph theory; topological;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Smart Grid Technologies (ISGT), 2012 IEEE PES
  • Conference_Location
    Washington, DC
  • Print_ISBN
    978-1-4577-2158-8
  • Type

    conf

  • DOI
    10.1109/ISGT.2012.6175737
  • Filename
    6175737