• DocumentCode
    690790
  • Title

    Adequacy evaluation of generating system recognizing random fuzzy wind speed

  • Author

    Zhaohong Bie ; Can Sun ; Guangtao Ning ; Yujie Gao

  • Author_Institution
    Sch. of Electr. Eng., Xi´an Jiaotong Univ., Xi´an, China
  • fYear
    2013
  • fDate
    8-11 Dec. 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    A new method based on fuzzy extension principle which can represent and propagate the possibilistic uncertainties of wind power in power system adequacy evaluation is proposed. In this method, wind speed is modeled as random fuzzy variable, and the corresponding system reliability indices are represented by fuzzy numbers instead of crisp values. Moreover, the relationship of different variables is recognized in this method. The paper illustrates the effectiveness of the approach by its application to IEEE Modified Reliability Test System.
  • Keywords
    fuzzy set theory; power generation reliability; wind power plants; IEEE Modified Reliability Test System; power system adequacy evaluation; random fuzzy wind speed; reliability indices; wind power generation system; Load modeling; Power system reliability; Reliability; Uncertainty; Wind power generation; Wind speed; Fuzzy extension principle; generation system adequacy; membership degree;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Engineering Conference (APPEEC), 2013 IEEE PES Asia-Pacific
  • Conference_Location
    Kowloon
  • Type

    conf

  • DOI
    10.1109/APPEEC.2013.6837295
  • Filename
    6837295