• DocumentCode
    1419371
  • Title

    Probabilistic determination of pilot points for zonal voltage control

  • Author

    Amraee, Turaj ; Soroudi, Alireza ; Ranjbar, A.M.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., K.N. Toosi Univ. of Technol., Tehran, Iran
  • Volume
    6
  • Issue
    1
  • fYear
    2012
  • fDate
    1/1/2012 12:00:00 AM
  • Firstpage
    1
  • Lastpage
    10
  • Abstract
    Owing to the local nature of voltage and reactive power control, the voltage control is managed in a zonal or regional basis. A new comprehensive scheme for optimal selection of pilot points is proposed in this study. The uncertainties of operational and topological disturbances of the power system are included to provide the robustness of the pilot node set. To reduce the huge number of probable states (i.e. combined states of load and topological changes), a scenario reduction technique is used. The resulted optimal control problem is solved using a new immune-based genetic algorithm. The performance of the proposed method is verified over IEEE 118-bus and realistic Iranian 1274-bus national transmission grids.
  • Keywords
    genetic algorithms; optimal control; power grids; power transmission control; probability; reactive power control; voltage control; IEEE 118-bus; Iranian 1274-bus national transmission grids; immune-based genetic algorithm; optimal control problem; optimal pilot point selection; pilot point determination; power system operational disturbance; power system topological disturbance; probabilistic determination; reactive power control; scenario reduction technique; zonal voltage control;
  • fLanguage
    English
  • Journal_Title
    Generation, Transmission & Distribution, IET
  • Publisher
    iet
  • ISSN
    1751-8687
  • Type

    jour

  • DOI
    10.1049/iet-gtd.2011.0334
  • Filename
    6128764