• DocumentCode
    645782
  • Title

    Probability state sequence method for reliability analysis of wind farms considering wake effect

  • Author

    Dongbo Zhao ; Meliopoulos, A. P. Sakis ; Zhenyu Tan ; Rui Fan

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
  • fYear
    2013
  • fDate
    22-24 Sept. 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Reliability analysis of wind farms, especially when considering wake effect, has been a challenge due to the intermittency of wind energy. This paper proposes a probability state sequence method which utilizes the independent probability distribution of each wind turbine to come up with the integration of total output states of the wind farm and the derivation of reliability indices. When wake effect is considered, the method remains unchanged comparing to normal cases but the only modification needed is on the representing states for the sum sequence. By using the probability state sequence method, the reliability analysis can have higher computational efficiency and can be subject to easy change of parameters. A studied case has been shown to demonstrate the use and effectiveness of the method.
  • Keywords
    power generation reliability; statistical distributions; wind power plants; wind turbines; independent probability distribution; probability state sequence method; reliability analysis; wake effect; wind energy; wind farms; wind turbine; Analytical models; Mathematical model; Power system reliability; Reliability; Wind farms; Wind speed; Wind turbines; reliability analysis; state sequence; wake effect; wind farm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    North American Power Symposium (NAPS), 2013
  • Conference_Location
    Manhattan, KS
  • Type

    conf

  • DOI
    10.1109/NAPS.2013.6666933
  • Filename
    6666933