• DocumentCode
    3532823
  • Title

    Equilibrium and dynamics of local voltage control in distribution systems

  • Author

    Farivar, Masoud ; Lijun Chen ; Low, Steven

  • Author_Institution
    Div. of Eng. & Appl. Sci., California Inst. of Technol., Pasadena, CA, USA
  • fYear
    2013
  • fDate
    10-13 Dec. 2013
  • Firstpage
    4329
  • Lastpage
    4334
  • Abstract
    We consider a class of local volt/var control schemes where the control decision on the reactive power at a bus depends only on the local bus voltage. These local algorithms form a feedback dynamical system and collectively determine the bus voltages of a power network. We show that the dynamical system has a unique equilibrium by interpreting the dynamics as a distributed algorithm for solving a certain convex optimization problem whose unique optimal point is the system equilibrium. Moreover, the objective function serves as a Lyapunov function implying global asymptotic stability of the equilibrium. The optimization based model does not only provide a way to characterize the equilibrium, but also suggests a principled way to engineer the control. We apply the results to study the parameter setting for the inverter-based volt/var control in the proposed IEEE 1547.8 standard.
  • Keywords
    Lyapunov methods; asymptotic stability; convex programming; distributed algorithms; power distribution control; power system stability; reactive power control; voltage control; IEEE 1547.8 standard; Lyapunov function; convex optimization problem; distributed algorithm; distribution systems; feedback dynamical system; global asymptotic stability; inverter-based volt-var control; local bus voltage; local volt-var control schemes; local voltage control; objective function; power network; reactive power control decision; system equilibrium; unique optimal point; Heuristic algorithms; Inverters; Mathematical model; Optimization; Reactive power; Vectors; Voltage control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2013 IEEE 52nd Annual Conference on
  • Conference_Location
    Firenze
  • ISSN
    0743-1546
  • Print_ISBN
    978-1-4673-5714-2
  • Type

    conf

  • DOI
    10.1109/CDC.2013.6760555
  • Filename
    6760555