• DocumentCode
    63696
  • Title

    Network Theory and Smart Grid Distribution Automation

  • Author

    Bush, Stephen

  • Author_Institution
    Gen. Electr. Global Res., Schenectady, NY, USA
  • Volume
    32
  • Issue
    7
  • fYear
    2014
  • fDate
    Jul-14
  • Firstpage
    1451
  • Lastpage
    1459
  • Abstract
    The communication network supports applications within the power grid that cannot be handled by local control; there is a mutual relationship that influences their network structures. This leads to the hypothesis that there is a fundamental relationship involving the eigenvalues of the power grid and communication network adjacency matrices. The intuitive relationship is that the communication network adjacency matrix should have stronger connectivity among nodes that are weakly connected in the power network adjacency matrix. The focus is upon latency rather than bandwidth since, in the application of fault detection, isolation, and recovery, messages are relatively small but their speed of transmission is of greater importance.
  • Keywords
    eigenvalues and eigenfunctions; fault diagnosis; matrix algebra; power distribution faults; smart power grids; communication network adjacency matrix; fault detection; fault isolation; local control; network structures; network theory; power grid; power grid eigenvalues; power network adjacency matrix; smart grid distribution automation; transmission speed; Bandwidth; Communication networks; Equations; Network topology; Power grids; Topology; Vectors; Communications; Computer network reliability; Distribution automation; Network science; Power distribution faults; Robotics and automation; Wireless sensor networks; communications; computer network reliability; network science; power distribution faults; robotics and automation; self-healing; wireless sensor networks;
  • fLanguage
    English
  • Journal_Title
    Selected Areas in Communications, IEEE Journal on
  • Publisher
    ieee
  • ISSN
    0733-8716
  • Type

    jour

  • DOI
    10.1109/JSAC.2014.2332132
  • Filename
    6840974