• DocumentCode
    2039877
  • Title

    A flocking-based dynamical systems paradigm for smart power system analysis

  • Author

    Jin Wei ; Kundur, Deepa ; Zourntos, Takis ; Butler-Purry, Karen

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Texas A&M Univ., College Station, TX, USA
  • fYear
    2012
  • fDate
    22-26 July 2012
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    We propose a paradigm to model the cyber-physical interactions related to transient stability in a smart grid. In our multi-agent framework each node, representing both electrical and information system components, is modeled as having dynamics that synergistically describe physical and information couplings with neighboring agents. Physical behaviors are described through the application of swing equations to a reduced model of the electrical grid. Cyber-physical integrated action is formulated as a flocking control problem to achieve transient stability. Analysis and simulation demonstrate the potential of the paradigm to model cyber-physical smart grid dynamics as well as highlight strategies for effective distributed control.
  • Keywords
    distributed control; multi-agent systems; power engineering computing; power system transient stability; smart power grids; cyber-physical integrated action; cyber-physical interactions; cyber-physical smart grid dynamics; distributed control; electrical grid; electrical system component; flocking control problem; flocking-based dynamical system paradigm; information system component; multiagent framework; physical behaviors; smart grid; smart power system analysis; swing equations; transient stability; Generators; Mathematical model; Phasor measurement units; Power system dynamics; Power system stability; Stability analysis; Transient analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting, 2012 IEEE
  • Conference_Location
    San Diego, CA
  • ISSN
    1944-9925
  • Print_ISBN
    978-1-4673-2727-5
  • Electronic_ISBN
    1944-9925
  • Type

    conf

  • DOI
    10.1109/PESGM.2012.6344594
  • Filename
    6344594