• DocumentCode
    3467983
  • Title

    Optimal allocation of SVCs against fluctuation of wind power generators

  • Author

    Hida, Y. ; Iba, K. ; Yokoyama, R.

  • Author_Institution
    Dept. of Electr. Eng., Meisei Univ., Hino
  • fYear
    2008
  • fDate
    6-9 April 2008
  • Firstpage
    184
  • Lastpage
    187
  • Abstract
    This paper presents an optimal allocation approach of static Var compensators (SVCs) in case of wind power generators are operating in distribution networks. In the proposed method, the fluctuation of wind is approximated by Weibull distribution. We decide the location of SVC, considering the probable characteristics of wind power output. The allocation of SVC is determined by taking account of probabilistic character of wind power output. Monte Carlo simulations are applied to obtain optimal solutions to SVC allocation problem. In addition, reactive Tabu search (RTS) which is composed of two-step procedures is applied. The proposed method can deal with installation costs of SVC, the limitation of voltage and limitation of line currents as constraints. The proposed method is applied to a radial distribution network to test the performance.
  • Keywords
    Monte Carlo methods; distributed power generation; search problems; static VAr compensators; wind power plants; Monte Carlo simulations; SVC optimal allocation; Weibull distribution; radial distribution network; reactive Tabu search; static Var compensators; wind power generators; wind power output; Costs; Distributed power generation; Fluctuations; Power generation; Static VAr compensators; Voltage control; Weibull distribution; Wind energy; Wind energy generation; Wind turbines; Distributed generator; Distribution System; Monte Carlo Simulation; Reactive Tabu Search; Static Var Compensator; Wind Power Generator;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electric Utility Deregulation and Restructuring and Power Technologies, 2008. DRPT 2008. Third International Conference on
  • Conference_Location
    Nanjuing
  • Print_ISBN
    978-7-900714-13-8
  • Electronic_ISBN
    978-7-900714-13-8
  • Type

    conf

  • DOI
    10.1109/DRPT.2008.4523399
  • Filename
    4523399