• Title of article

    Application of the Ant Colony Search Algorithm to Reactive Power Pricing in an Open Electricity Market

  • Author/Authors

    A. Ketabi، نويسنده , , A. Ali Babaee، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2009
  • Pages
    8
  • From page
    956
  • To page
    963
  • Abstract
    Developing an accurate and feasible method for reactive power pricing is important in the electricity market. In conventional optimal power flow models the production cost of reactive power was ignored. In this study, the production cost of reactive power was comprised into the objective function of the OPF problem. Then, using ant colony search algorithm, the optimal problem was solved. The IEEE 14-bus system has been used for application of the method. The results from several study cases show clearly the effects of various factors on reactive power price.
  • Keywords
    Electricity market , cost allocation , Reactive power pricing , Ant colony search algorithm
  • Journal title
    American Journal of Applied Sciences
  • Serial Year
    2009
  • Journal title
    American Journal of Applied Sciences
  • Record number

    688145