• DocumentCode
    2377961
  • Title

    Using AC Optimal Power Flow for DG planning and optimisation

  • Author

    Ochoa, Luis F. ; Harrison, Gareth P.

  • Author_Institution
    Sch. of Eng., Univ. of Edinburgh, Edinburgh, UK
  • fYear
    2010
  • fDate
    25-29 July 2010
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    While it is difficult to estimate how much distributed generation (DG) capacity will be connected to distribution systems in the coming years, it is certain that increasing penetration levels require robust tools that help assess the capabilities and requirements of the networks in order to produce the best planning strategies. This work presents an overview of some of the uses to which a tailored AC Optimal Power Flow (OPF) can be applied to DG planning and optimisation. Its application to maximising connectable capacity and energy loss minimisation are presented and discussed. The incorporation of a wide range of network constraints, including fault levels, voltage step change and N-1 security are also outlined. The AC OPF technique is extended to a multi-period approach to cater for the variability of demand and renewable generation. Advanced smart grid-like control strategies are also incorporated into this planning tool in order to evaluate the potential benefits. Simple test feeders as well as generic UK distribution systems are adopted to demonstrate the methodology.
  • Keywords
    distributed power generation; fault diagnosis; load flow; power distribution planning; power system security; AC optimal power flow; N-l security; demand generation; distributed generation optimisation; distributed generation planning; energy loss minimisation; fault levels; network constraints; renewable generation; smart grid-like control strategies; voltage step change; Distributed generation; active network management; distribution networks; optimal power flow; wind power;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting, 2010 IEEE
  • Conference_Location
    Minneapolis, MN
  • ISSN
    1944-9925
  • Print_ISBN
    978-1-4244-6549-1
  • Electronic_ISBN
    1944-9925
  • Type

    conf

  • DOI
    10.1109/PES.2010.5589482
  • Filename
    5589482