• DocumentCode
    3110481
  • Title

    Generator rescheduling for congestion management with incorporation of wind farm using Artificial Bee Colony algorithm

  • Author

    Deb, Sujay ; Gope, Sadhan ; Goswami, Arup K.

  • Author_Institution
    Dept. of Electr. Eng., Nat. Inst. of Technol., Silchar, India
  • fYear
    2013
  • fDate
    13-15 Dec. 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Power system congestion is a major problem for independent system operator (ISO) in a deregulated environment as it violates system security and cost. So it is an important task for ISO to maintain congestion free power system. In this paper generator rescheduling technique has been adopted with incorporation of wind farm in the system. Present work is three folded. Firstly location of wind farm is selected based upon power transfer distribution factor (PTDF). Secondly generator sensitivity factor (GSF) has been determined to reduce number of participating generator in congestion management. Thirdly selected generators have been rescheduled using Artificial Bee Colony (ABC) optimization techniques to mitigate transmission congestion. The proposed method is applied on IEEE 39 bus New England test system.
  • Keywords
    ant colony optimisation; power generation scheduling; power system management; power transmission; wind power plants; IEEE 39 bus New England test system; Power system congestion; artificial bee colony algorithm; artificial bee colony optimization techniques; congestion management; cost; deregulated environment; generator rescheduling technique; generator sensitivity factor; independent system operator; power transfer distribution factor; system security; transmission congestion; wind farm; Generators; Load flow; Optimization; Sensitivity; Wind farms; Wind power generation; Generator sensitivity factor; Power transfer distribution factor; artificial bee colony; fixed speed wind farm; generator rescheduling; transmission congestion management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    India Conference (INDICON), 2013 Annual IEEE
  • Conference_Location
    Mumbai
  • Print_ISBN
    978-1-4799-2274-1
  • Type

    conf

  • DOI
    10.1109/INDCON.2013.6726002
  • Filename
    6726002