• DocumentCode
    2584661
  • Title

    Geometry of power flow in negatively curved power grid

  • Author

    Banirazi, Reza ; Jonckheere, Edmond

  • Author_Institution
    Electr. Eng. Dept., Univ. of Southern California, Los Angeles, CA, USA
  • fYear
    2010
  • fDate
    15-17 Dec. 2010
  • Firstpage
    6259
  • Lastpage
    6264
  • Abstract
    Motivated by the concept of the smart power grid, reliability of a power network is investigated from a topological viewpoint. Inspired from Riemannian geometry of manifolds, it is claimed that extreme load at specific parts of a large power grid can occur as a consequence of the local negative curvature in its hidden metric space. This paper contributes to four areas: (1) It draws a new course in the topological study of a power grid, which is, unlike most previous studies, in accordance with the electrical characteristic, not the topographical structure, of the power grid. (2) It extends the Riemannian geometry metaphor developed for data communication networks to the power grid, an area it has never pervaded. (3) It develops a unifying approach to deal with power and data networks, precisely at a juncture where the smart grid is bringing the two networks together. (4) It provides an analytical measure for the criticality of lines and stations in a bulk transmission system, which can find a place in reliability assessment and centralized flow control in the future smart grid.
  • Keywords
    load flow control; power transmission reliability; smart power grids; Riemannian geometry; data communication networks; flow control; power flow; power network; reliability; smart power grid; transmission system; Fluctuations; Geometry; Load flow; Manifolds; Power grids; Resistance; Steady-state;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2010 49th IEEE Conference on
  • Conference_Location
    Atlanta, GA
  • ISSN
    0743-1546
  • Print_ISBN
    978-1-4244-7745-6
  • Type

    conf

  • DOI
    10.1109/CDC.2010.5718198
  • Filename
    5718198