• DocumentCode
    2924513
  • Title

    A framework for actuator placement in large scale power systems: Minimal strong structural controllability

  • Author

    Pequito, Sergio ; Popli, Nipun ; Kar, Soummya ; Ilic, Marija D. ; Aguiar, A. Pedro

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, USA
  • fYear
    2013
  • fDate
    15-18 Dec. 2013
  • Firstpage
    416
  • Lastpage
    419
  • Abstract
    This paper addresses the problem of minimal placement of actuators in large-scale linear time invariant (LTI) systems, such as large-scale power systems, for dynamic controller design. A novel sufficient and necessary condition to ensure a strong structurally controllable (SSC) system is proposed. Specifically, the paper addresses the problem of obtaining the minimal number of dedicated inputs, i.e., inputs which actuate only a single state variable, and the respective state variables they should be assigned to, such that the LTI system is SSC. In addition, an efficient and scalable algorithm, with polynomial implementation complexity, to achieve such minimal placement of dedicated inputs is proposed. An illustration of the proposed design methodology is provided on the IEEE 5-bus test system, thereby identifying the minimal number of physical state variables to be actuated for ensuring strong structural controllability.
  • Keywords
    controllability; linear systems; matrix algebra; polynomials; power systems; IEEE 5-bus test system; SSC system; actuator placement; dedicated inputs; dynamic controller design; large scale power systems; large-scale LTI systems; large-scale linear time invariant systems; physical state variables; polynomial implementation complexity; single state variable; strong structurally controllable system; Actuators; Controllability; Frequency control; Load modeling; Mathematical model; Power system dynamics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2013 IEEE 5th International Workshop on
  • Conference_Location
    St. Martin
  • Print_ISBN
    978-1-4673-3144-9
  • Type

    conf

  • DOI
    10.1109/CAMSAP.2013.6714096
  • Filename
    6714096