• DocumentCode
    3354830
  • Title

    Long Term Dynamic Behavior Analysis for Power System Including Wind Farms

  • Author

    Chang, Yongji ; Yu, Jilai

  • Author_Institution
    Dept. of Electr. Eng., Harbin Inst. of Technol., Harbin
  • fYear
    2009
  • fDate
    27-31 March 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The increasing capacities of wind power bring a great influence on power system stability because wind power can produce in stochastic behaviors due to special fluctuant characteristics of natural wind. There is lack of research on long-term dynamic behavior simulation for power system including wind farms. This paper adopts mathematic dynamic model of induction wind generating set, and makes use of flexible self-adjustment method to analyze long term dynamic behavior for power system including wind farms under different wind condition and operating mode. Numerical example shows that flexible self-adjustment method is suitable for long term dynamic simulation of power system including wind farms, and also shows that random variations of wind power bring extra fluctuation to power system voltage, frequency and tie-line power.
  • Keywords
    numerical analysis; power system stability; wind power plants; flexible self-adjustment method; long term dynamic behavior analysis; mathematic dynamic model; power system frequency; power system stability; power system voltage; tie-line power; wind farms; wind power; Mathematics; Power system analysis computing; Power system dynamics; Power system modeling; Power system simulation; Power system stability; Stochastic systems; Wind energy; Wind farms; Wind power generation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Engineering Conference, 2009. APPEEC 2009. Asia-Pacific
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-2486-3
  • Electronic_ISBN
    978-1-4244-2487-0
  • Type

    conf

  • DOI
    10.1109/APPEEC.2009.4918468
  • Filename
    4918468