• DocumentCode
    3174764
  • Title

    Synchronization assessment in power networks and coupled oscillators

  • Author

    Dorfler, Florian ; Chertkov, Michael ; Bullo, Francesco

  • Author_Institution
    Center for Control, Dynamical Syst. & Comput., Univ. of California at Santa Barbara, Santa Barbara, CA, USA
  • fYear
    2012
  • fDate
    10-13 Dec. 2012
  • Firstpage
    4998
  • Lastpage
    5003
  • Abstract
    Synchronization problems in complex networks have recently attracted tremendous scientific interested. Moreover, assessing the existence, stability, and robustness of synchronous states is a pervasive topic in the operation of power networks. Scientists in both communities have long aimed to identify sharp synchronization conditions as functions of the network topology and parameters. This paper proposes an insightful approach to this problem based on algebraic graph theory. We present a novel synchronization condition applicable to a general coupled oscillator model. We rigorously establish that our condition is exact for various interesting network topologies and parameters. Via statistical studies we show that our condition predicts accurately the existence of stable synchronous solutions for generic networks as well as various power network test cases. From these statistical studies, we conclude that our proposed condition is correct for almost all network topologies and parameters. Indeed, we also show that there exist possibly-thin sets of network topologies and parameters, where our condition is not sufficiently tight.
  • Keywords
    algebra; graph theory; oscillators; power system stability; statistical analysis; algebraic graph theory; general coupled oscillator model; generic networks; network parameters; network topology; possibly-thin sets; power network test; statistical studies; synchronization assessment; synchronous states; Equations; Mathematical model; Network topology; Oscillators; Power system stability; Synchronization; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2012 IEEE 51st Annual Conference on
  • Conference_Location
    Maui, HI
  • ISSN
    0743-1546
  • Print_ISBN
    978-1-4673-2065-8
  • Electronic_ISBN
    0743-1546
  • Type

    conf

  • DOI
    10.1109/CDC.2012.6426586
  • Filename
    6426586