• DocumentCode
    662485
  • Title

    Optimal allocation of wind generation subject to voltage stability constraints

  • Author

    Bakhtvar, Mostafa ; Keane, Andrew

  • Author_Institution
    Electr. Res. Centre, Univ. Coll. Dublin, Dublin, Ireland
  • fYear
    2013
  • fDate
    6-9 Oct. 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In power systems the occurrence probability of operating points close to network limits may be increased as a result of high wind penetration. Consequences of such scenarios include inefficient exploitation of both wind and economic resources. A well chosen allocation of wind capacity not only is in line with the trend of renewables integration in power systems but also allows for limiting the occurrence probability of unsafe operating points that may require costly remedies. In this work, a voltage stability constrained optimal power flow (VSC-OPF) framework is presented for transmission system planning and applied to wind capacity allocation. This framework captures multiple wind and demand scenarios within the OPF. The pattern of wind capacity allocation is studied in order to assess its impact on voltage stability and the total wind capacity allocation. The results emphasize the effect of the capacity allocation pattern on improvement of voltage stability.
  • Keywords
    load flow; power system stability; power transmission planning; wind power plants; VSC-OPF; capacity allocation pattern; occurrence probability; optimal allocation; renewables integration; transmission system planning; unsafe operating points; voltage stability constrained optimal power flow; wind capacity allocation; wind generation; Generators; Linear programming; Power system stability; Reactive power; Resource management; Stability criteria; Wind farms; Capability diagram; Capacity allocation; Optimal power flow; Voltage stability; Wind;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Smart Grid Technologies Europe (ISGT EUROPE), 2013 4th IEEE/PES
  • Conference_Location
    Lyngby
  • Type

    conf

  • DOI
    10.1109/ISGTEurope.2013.6695372
  • Filename
    6695372