• DocumentCode
    1637351
  • Title

    On fast transmission topology control heuristics

  • Author

    Ruiz, Pablo A. ; Foster, Justin M. ; Rudkevich, Aleksandr ; Caramanis, Michael C.

  • Author_Institution
    Charles River Assoc., Boston, MA, USA
  • fYear
    2011
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    The standard optimal power flow (OPF) problem minimizes generation costs over one study period assuming a fixed system topology. The prospect of a smart grid incorporating extensive cyber capabilities enabling significant progress in economic efficiency, reliability and environmental sustainability, ought to transform the OPF problem accordingly. This paper discusses the inclusion of tractable dynamic transmission topology control in the OPF problem based on heuristic control policies derived from individual transmission “line profit” criteria. Simulations on the IEEE 118-bus test system demonstrate the effectiveness of the heuristic policies in reducing production costs. As the algorithm´s requisite information to identify promising candidate elements for switching is standard output of the OPF solution, the computational effort is up to four orders of magnitude better than dynamic transmission topology control performance reported in the literature.
  • Keywords
    load flow; power transmission control; power transmission economics; power transmission reliability; smart power grids; IEEE 118-bus test system; economic efficiency; environmental sustainability; extensive cyber capability; fixed system topology; generation costs; heuristic control policies; reliability; smart grid; standard optimal power flow problem; transmission topology control heuristics; Economics; Heuristic algorithms; Production; Reliability; Switches; Topology; Transmission line matrix methods; Transmission congestion; optimal power flow; renewable integration; topology control; transmission switching;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting, 2011 IEEE
  • Conference_Location
    San Diego, CA
  • ISSN
    1944-9925
  • Print_ISBN
    978-1-4577-1000-1
  • Electronic_ISBN
    1944-9925
  • Type

    conf

  • DOI
    10.1109/PES.2011.6039833
  • Filename
    6039833