• DocumentCode
    3368968
  • Title

    Process simulation modeling for sequence switching strategy in substations

  • Author

    Long, Fengying ; Xia, Wei ; Liao, Xiaoping

  • Author_Institution
    Sch. of Mech. Eng., Guangxi Univ., Nanning, China
  • fYear
    2009
  • fDate
    9-12 Aug. 2009
  • Firstpage
    632
  • Lastpage
    637
  • Abstract
    Automatic sequence switching has been an important pursuit in the field of substation automation. This paper presents a software process simulation modeling representation and method for sequence switching strategy in substation. It starts with a presentation of sequence switching problem, then, suggests a component-driven pattern recognition model of a substation switch network organized in a logic relationships structure of constraint objects, and reachability of Petri nets suitable for constraint satisfaction. An intelligent optimal sequence switching strategy and component-driven knowledge representations of sequence switching are presented. The software process simulation modeling method provides a platform for further research in terms of intelligent decisionmaking of switching processes.
  • Keywords
    Petri nets; decision making; digital simulation; pattern recognition; power engineering computing; sequential switching; substation automation; Petri nets; component-driven pattern recognition; constraint satisfaction; intelligent decision-making; intelligent optimal sequence switching strategy; process simulation modeling; sequence switching strategy; software process simulation modeling; substation automation; Decision making; Humans; Mechatronics; Pattern recognition; Power system protection; Safety; Substation automation; Substation protection; Switches; Switching circuits; Process simulation; component-driven; pattern recognition; sequence switching strategy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronics and Automation, 2009. ICMA 2009. International Conference on
  • Conference_Location
    Changchun
  • Print_ISBN
    978-1-4244-2692-8
  • Electronic_ISBN
    978-1-4244-2693-5
  • Type

    conf

  • DOI
    10.1109/ICMA.2009.5246493
  • Filename
    5246493