• DocumentCode
    11685
  • Title

    Assessing the Potential of Network Reconfiguration to Improve Distributed Generation Hosting Capacity in Active Distribution Systems

  • Author

    Capitanescu, Florin ; Ochoa, Luis F. ; Margossian, Harag ; Hatziargyriou, Nikos D.

  • Author_Institution
    Univ. of Manchester, Manchester, UK
  • Volume
    30
  • Issue
    1
  • fYear
    2015
  • fDate
    Jan. 2015
  • Firstpage
    346
  • Lastpage
    356
  • Abstract
    As the amount of distributed generation (DG) is growing worldwide, the need to increase the hosting capacity of distribution systems without reinforcements is becoming nowadays a major concern. This paper explores how the DG hosting capacity of active distribution systems can be increased by means of network reconfiguration, both static, i.e., grid reconfiguration at planning stage, and dynamic, i.e., grid reconfiguration using remotely controlled switches as an active network management (ANM) scheme. The problem is formulated as a mixed-integer, nonlinear, multi-period optimal power flow (MP-OPF) which aims to maximize the DG hosting capacity under thermal and voltage constraints. This work further proposes an algorithm to break-down the large problem size when many periods have to be considered. The effectiveness of the approach and the significant benefits obtained by static and dynamic reconfiguration options in terms of DG hosting capacity are demonstrated using a modified benchmark distribution system.
  • Keywords
    distributed power generation; load flow; power distribution planning; power system management; ANM scheme; DG hosting capacity improvement; MP-OPF; active distribution systems; active network management scheme; distributed generation; dynamic reconfiguration options; grid reconfiguration; modified benchmark distribution system; multiperiod optimal power flow; network reconfiguration; planning stage; remotely controlled switches; static reconfiguration options; thermal constraints; voltage constraints; Control systems; Distributed power generation; Mathematical model; Network topology; Optimization; Reactive power; Topology; Active distribution system; distributed generation; hosting capacity; network switching; optimal power flow; smart grids;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2014.2320895
  • Filename
    6818426