• DocumentCode
    2374372
  • Title

    Distribution network capacity assessment: Variable DG and active networks

  • Author

    Ochoa, Luis ; Dent, Chris ; Harrison, Gareth

  • Author_Institution
    Univ. of Edinburgh, Edinburgh, UK
  • fYear
    2010
  • fDate
    25-29 July 2010
  • Firstpage
    1
  • Lastpage
    1
  • Abstract
    Summary form only given. Increasing connection of variable distributed generation, like wind power, to distribution networks requires new control strategies to provide greater flexibility and use of existing network assets. Active Network Management (ANM) will play a major role in this but there is a continuing need to demonstrate the benefit in facilitating connection of new generation without the need for traditional reinforcements. This paper proposes a multi-period AC Optimal Power Flow (OPF)based technique for evaluating the maximum capacity of new variable distributed generation able to be connected to a distribution network when ANM control strategies are in place. The ANM schemes embedded into the OPF include coordinated voltage control, adaptive power factor and energy curtailment. A generic UK medium voltage distribution network is analysed using coincident demand and wind availability data derived from hourly time-series. Results clearly show that very high penetration levels of new variable generation capacity can be achieved by considering ANM strategies compared to the widely used passive operation (i.e., ´fit and forget´). The effects on network losses are also discussed.
  • Keywords
    distributed power generation; power system control; voltage control; wind power; active network management; adaptive power factor; distribution network capacity assessment; optimal power flow; variable distributed generation; voltage control; wind power distribution networks;
  • 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.2010.5589284
  • Filename
    5589284