• DocumentCode
    240145
  • Title

    Fuzzy-based load frequency controller for interconnected power system with wind power integration

  • Author

    Hui Zhou ; Ya Fu ; Rong Cong

  • Author_Institution
    Sch. of Electr. Eng., Beijing Jiaotong Univ., Beijing, China
  • fYear
    2014
  • fDate
    4-7 May 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Due to the fluctuation characteristics of wind power, Integration of large-scale wind power affects the frequency stability of power system, so it´s necessary to design a new type of load frequency controller to adapt to the fluctuation of wind power injected. Based on analyzing the output characteristic of wind farm which is varying with the wind speed and the principle of load frequency controller, fuzzy control is introduced. Based on Matlab/Simulink, the model of a two area interconnected power system with large scale of wind power integrated is built; three situations are studied corresponding to the primary frequency regulator without controller, the secondary frequency regulator with traditional PI controller and the secondary frequency regulator with fuzzy-based PI controller respectively. The results show that fuzzy-based controller would improve the performances of frequency control for the power system greatly.
  • Keywords
    PI control; frequency control; fuzzy control; power system interconnection; power system stability; wind power plants; frequency regulator; fuzzy-based PI controller; fuzzy-based load frequency controller; interconnected power system; power system frequency stability; primary frequency regulator; two area interconnected power system; wind farm output characteristic; wind power fluctuation characteristics; wind power integration; Frequency control; Load modeling; Power system stability; Regulators; Wind power generation; Wind speed; Fuzzy control; Integration of wind power; frequency stability; load frequency controller; simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Computer Engineering (CCECE), 2014 IEEE 27th Canadian Conference on
  • Conference_Location
    Toronto, ON
  • ISSN
    0840-7789
  • Print_ISBN
    978-1-4799-3099-9
  • Type

    conf

  • DOI
    10.1109/CCECE.2014.6901046
  • Filename
    6901046