• DocumentCode
    3538069
  • Title

    Voltage robust stability in microgrid power management

  • Author

    Le Yi Wang ; Polis, Michael P. ; Caisheng Wang ; Feng Lin ; Yin, George

  • Author_Institution
    Dept. of Electr. & Comput. Eng, Wayne State Univ., Detroit, MI, USA
  • fYear
    2013
  • fDate
    10-13 Dec. 2013
  • Firstpage
    6928
  • Lastpage
    6933
  • Abstract
    Voltage stability is of essential importance for power grids. The emergence of distributed energy generators, controllable loads, and local-area energy storage capabilities will introduce new scenarios for distribution networks in which classical frameworks for voltage stability may be inadequate. This paper introduces a control-theoretic framework for studying voltage stability and its robustness, as well as optimal power management in distribution systems composed of networked microgrids. The framework involves descriptions of the loads and generators by nonlinear state space models and the network connections by a set of topology-based algebraic equations. The combined system leads to a general nonlinear state space model for the microgrid systems. Four stability margins are introduced to capture different scenarios in microgrid power management capabilities and load disturbances. LMI (linear matrix inequality) methods are employed for computing stability margins. Illustrative examples are used to demonstrate the methods.
  • Keywords
    distributed power generation; linear matrix inequalities; nonlinear control systems; power system management; power system stability; robust control; state-space methods; topology; voltage control; LMI method; controllable load; distributed energy generator; distribution network; linear matrix inequality method; load disturbance; local-area energy storage capability; microgrid power management; network connection; nonlinear state space model; optimal power management; power grids; topology-based algebraic equation; voltage robust stability; Generators; Mathematical model; Microgrids; Nonlinear dynamical systems; Power system stability; Stability analysis; Thermal stability;
  • 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.2013.6760987
  • Filename
    6760987