• DocumentCode
    1864605
  • Title

    Distributed control based on tie-set graph theory for smart grid networks

  • Author

    Nakayama, Kiyoshi ; Shinomiya, Norihiko

  • Author_Institution
    Grad. Sch. of Eng., Soka Univ., Tokyo, Japan
  • fYear
    2010
  • fDate
    18-20 Oct. 2010
  • Firstpage
    957
  • Lastpage
    964
  • Abstract
    This paper introduces tie-set graph theory and its application to smart grid networks. Tie-sets stand for loop structure in a network. Tie-set graph theory, which aims to realize distributed control in local units, provides the theoretical nature of loops. In mesh topological networks, all the nodes and links are covered with a fundamental system of tie-sets, which is created by a tree defined by graph theory. If tie-sets are used as local management units in a network, an entire network can be controlled in an orderly fashion due to the graph theoretical basis. Distributed control based on tie-sets has some merit such as easy communication and reduction of electricity loss. In this paper, we propose the unique graph theory on tie-sets, its relationship with smart grid networks, and autonomous configurations based on tie-sets. In addition, we suggest distributed algorithms for an electricity distribution problem as a conceivable issue, and basic simulations and experiments are also conducted.
  • Keywords
    distributed algorithms; distributed control; graph theory; power system control; smart power grids; telecommunication network management; distributed algorithms; distributed control; electricity distribution problem; electricity loss reduction; local management units; loop structure; mesh topological networks; smart grid networks; tie-set graph theory; Distributed algorithms; Distributed control; Electricity; Graph theory; Lead; Smart grids; electricity distribution; graph theory; loop management; smart grid; tie-set;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), 2010 International Congress on
  • Conference_Location
    Moscow
  • ISSN
    2157-0221
  • Print_ISBN
    978-1-4244-7285-7
  • Type

    conf

  • DOI
    10.1109/ICUMT.2010.5676490
  • Filename
    5676490