• DocumentCode
    570509
  • Title

    Reactive power planning for transmission grids with wind power penetration

  • Author

    Niu, Ming ; Xu, Zhao

  • Author_Institution
    Dept. of Electr. Eng., Hong Kong Polytech. Univ., Hong Kong, China
  • fYear
    2012
  • fDate
    21-24 May 2012
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper proposes an application of Differential Evolution algorithm to power system reactive power planning with wind farms integration. The SVC device is used to minimize the real power losses and to improve the voltage profile during various operation scenarios disturbed by wind power variations. The model is also formulated as a constrained optimization problem, where the constraint is to let the voltage of connection point of the wind farms into the grid close to 1 p.u., which is formulated as a penalty function into the objective function. The reactive power optimization is tested in a modified version of the IEEE 30 bus test system for 6 scenarios of different wind speed levels based on Monte-Carlo simulations with satisfactory results.
  • Keywords
    IEEE standards; Monte Carlo methods; evolutionary computation; power generation planning; power grids; power transmission; reactive power; wind power plants; IEEE 30 bus test system; Monte Carlo simulations; SVC device; constrained optimization problem; differential evolution algorithm; penalty function; power losses; power system reactive power planning; reactive power optimization; transmission grids; voltage profile; wind farms integration; wind power penetration; wind power variations; wind speed levels; Equations; Indexes; Mathematical model; Simulated annealing; Static VAr compensators; Differential Evolution; Monte-Carlo simulation; optimal reactive power planning; static var compensation (SVC); wind energy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Smart Grid Technologies - Asia (ISGT Asia), 2012 IEEE
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-1-4673-1221-9
  • Type

    conf

  • DOI
    10.1109/ISGT-Asia.2012.6303336
  • Filename
    6303336