• DocumentCode
    1098330
  • Title

    Reactive Power Response of Wind Generators Under an Incremental Network-Loss Allocation Approach

  • Author

    De Oliveira-De Jesus, P.M. ; Castronuovo, Edgardo D. ; Ponce de Leao, Maria Teresa

  • Author_Institution
    Fac. de Eng., Dept. of Electr. & Comput., Univ. do Porto, Porto
  • Volume
    23
  • Issue
    2
  • fYear
    2008
  • fDate
    6/1/2008 12:00:00 AM
  • Firstpage
    612
  • Lastpage
    621
  • Abstract
    The reactive power capability of wind generation (WG) producers can be used to provide volt/voltampere reactive (var) support in electrical distribution systems. In practice, the distribution network operator (DNO) is not able to dispatch reactive power of all generators, and such units are referred to as nondispatchable generators. Then, the reactive power of these nondispatchable generators is not a defined value, and it should accomplish the limits settled by national grid codes. This paper addresses the optimal reactive power provision of nondispatchable WG units under a loss allocation strategy based on incremental generation use of the system (GUoS) tariffs. The optimization problem is set from generators´ viewpoint aiming to find the reactive power provision that minimizes the loss charges subject to operational constraints. Optimal solutions are compared with the DNOs mandatory dispatches using a reactive optimal power flow tool. Two test systems are analyzed: a 10-kV 28 bus and 60-kV 55-bus system throughout 672 and 168 h, respectively. The proposal permits to identify which units can be dispatched by the DNO due to its effect on the network.
  • Keywords
    reactive power; wind power; wind power plants; distribution network operator; incremental network-loss allocation approach; reactive power response; volt/voltampere reactive; wind generators; Loss allocation; losses; mathematical programming; reactive power; wind power generation;
  • fLanguage
    English
  • Journal_Title
    Energy Conversion, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8969
  • Type

    jour

  • DOI
    10.1109/TEC.2007.914172
  • Filename
    4470326