• DocumentCode
    2819044
  • Title

    Research on the compensation of reactive power for wind farms on simulated Annealing´s Particle Swarm Optimization Algorithm

  • Author

    Wang, Nan ; Tan, Lunnong

  • Author_Institution
    Sch. of Electron. Inf. Eng., Jiangsu Univ., Zhenjiang, China
  • fYear
    2011
  • fDate
    15-17 July 2011
  • Firstpage
    6055
  • Lastpage
    6058
  • Abstract
    In order to solve the problem of voltage stability in the power system including wind farms,a method that assembling SVC at the connection point and applying Simulated Annealing´s Particle Swarm Optimization (SAPSO)Algorithm to optimize the reactive power compensation capacity is given. The processing of the wind farm node reflects its character accurately. The model´s objective function is to let the voltage of connection point close to 1 p.u.. Under the difference of wind speed, combining the calculation of the power flow and the algorithm of SAPSO, the best reactive power compensation capacity is figured out. With the computing result, this method can reduce the number of iterations, realize the global optimization, and the voltage of the power system can be restricted within regular range.
  • Keywords
    load flow; particle swarm optimisation; power system stability; reactive power; simulated annealing; static VAr compensators; wind power plants; global optimization; iteration number; particle swarm optimization; power flow; power system; reactive power compensation capacity; simulated annealing; static var compensation; voltage stability problem; wind farms; wind speed; Particle swarm optimization; Power system stability; Reactive power; Simulated annealing; Static VAr compensators; Wind farms; Wind power generation; Simulated Annealing´s Particle Swarm Optimization(SAPSO) Algorithm; reactive power compensation; static var compensator(SVC); voltage stability; wind farm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechanic Automation and Control Engineering (MACE), 2011 Second International Conference on
  • Conference_Location
    Hohhot
  • Print_ISBN
    978-1-4244-9436-1
  • Type

    conf

  • DOI
    10.1109/MACE.2011.5988418
  • Filename
    5988418