• DocumentCode
    2529413
  • Title

    Energy loss minimization of electricity networks with large wind generation using FACTS

  • Author

    Zhang, X.-P.

  • Author_Institution
    Dept. of Electron., Univ. of Birmingham, Birmingham
  • fYear
    2008
  • fDate
    20-24 July 2008
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The UK Government is working towards a target of providing 10 % of UK electricity from renewable sources by 2010 with the aspiration that this will rise to 20% by 2020. However, the connection of any wind farm to the grid must comply with the Grid Code connection requirements. One of the requirements is that the wind farm must have the capabilities to operate within certain reactive power and voltage operating control range. This paper discusses the issue of energy loss minimization of electricity networks with large renewable wind generation. The impact of the special operating arrangements of large wind generation on energy loss of electricity networks is investigated. An optimal power flow (OPF) approach is proposed to minimize the energy loss of electricity network with reactive power and FACTS control, while satisfying the network operating voltage and thermal limits.
  • Keywords
    government; load flow; power grids; transmission networks; wind power; wind power plants; FACTS; Grid Code connection; UK Government; electricity networks; energy loss; energy loss minimization; large renewable wind generation; optimal power flow approach; reactive power; renewable sources; wind farm; Energy loss; Government; Load flow; Optimal control; Power generation; Reactive power control; Voltage control; Wind energy; Wind energy generation; Wind farms; Distributed generation; Grid Code; Large off-shore wind farms; Large on-shore wind farms; Optimal power flow; Reactive power compensation; Renewable generation; Voltage control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century, 2008 IEEE
  • Conference_Location
    Pittsburgh, PA
  • ISSN
    1932-5517
  • Print_ISBN
    978-1-4244-1905-0
  • Electronic_ISBN
    1932-5517
  • Type

    conf

  • DOI
    10.1109/PES.2008.4595970
  • Filename
    4595970