• DocumentCode
    3400226
  • Title

    Probabilistic Power System Production Simulation Including Large-Scale Wind Farms Based on Available Generation Capacities

  • Author

    Li, Dong ; Zou, Bin

  • Author_Institution
    Sch. of Mechatron. Eng. & Autom., Shanghai Univ., Shanghai, China
  • fYear
    2012
  • fDate
    27-29 March 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In this paper, a calculation methodology of the power system production simulation is proposed. On the one hand, the wind conversion system is simulated as doing in the sequential Monte Carlo simulation. On the other hand, the probability distribution function of the convention units´ available capacity is employed during the simulation. The methodology developed in this paper used the chronological load model, which could take account of the intermittency of the wind generation. The presented method has the other important characteristics wherein the correlation of wind speeds and the abandonment of wind generation, which is caused by the requirement of the balance between the load and the generated energy, can be easily considered. The proposed method has a great advantage in computing time compared to the Monte Carlo simulation, as the speediness feature of the analytical method.
  • Keywords
    Monte Carlo methods; correlation theory; power generation planning; statistical distributions; wind power plants; Monte Carlo simulation; chronological load model; correlation analysis; power system production simulation; probability distribution function; wind conversion system; wind farm; wind generation capacity; Load modeling; Monte Carlo methods; Power systems; Production; Wind farms; Wind power generation; Wind speed;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Engineering Conference (APPEEC), 2012 Asia-Pacific
  • Conference_Location
    Shanghai
  • ISSN
    2157-4839
  • Print_ISBN
    978-1-4577-0545-8
  • Type

    conf

  • DOI
    10.1109/APPEEC.2012.6307697
  • Filename
    6307697