• DocumentCode
    29133
  • Title

    Decision support for restoration of interconnected power systems using tie lines

  • Author

    Stefanov, Alexandru ; Chen-Ching Liu ; Sforna, Marino ; Eremia, Mircea ; Balaurescu, Rodica

  • Author_Institution
    Sch. of Mech. & Mater. Eng., Univ. Coll. Dublin, Dublin, Ireland
  • Volume
    9
  • Issue
    11
  • fYear
    2015
  • fDate
    8 6 2015
  • Firstpage
    1006
  • Lastpage
    1018
  • Abstract
    Existing system restoration strategies are primarily based on operators´ experience with no specific decision support tools. Restoration of interconnected grids in Europe is decentralised; restoration planning is limited to within the area of control for each national transmission system operator (TSO). Although coordination of restorative actions between TSOs is encouraged, few agreements exist. This study proposes a decision support methodology for system operators and restoration planners for restoration of interconnected grids. Solutions to optimal and coordinated utilisation of tie lines (TLs) are proposed. The proposed tool facilitates collaboration between TSOs affected by wide area blackouts. The decision support tool allows to adaptively develop restoration strategies based on system conditions, available resources and operating constraints. Optimisation algorithms are proposed to determine the optimal utilisation of TLs and/or black-start (BS) units to crank non-BS units. Optimal power flow problems are formulated for utilisation of TLs. They offer solutions for neighbouring TSOs to determine the extent to which TLs can be used without violating constraints. The proposed decision support tool is tested with IEEE 39-bus system.
  • Keywords
    decision support systems; load flow; power grids; power system interconnection; power system restoration; decision support; interconnected grids; interconnected power systems; optimal power flow; optimal utilisation; restoration planning; system restoration; tie lines; wide area blackouts;
  • fLanguage
    English
  • Journal_Title
    Generation, Transmission & Distribution, IET
  • Publisher
    iet
  • ISSN
    1751-8687
  • Type

    jour

  • DOI
    10.1049/iet-gtd.2014.0783
  • Filename
    7173403