• DocumentCode
    3058455
  • Title

    Intelligent parallel controller based on fuzzy linguistic rules assessment

  • Author

    Al-Olimat, Khalid S. ; Ghandakly, Adel A.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Ohio Northern Univ., Ada, OH, USA
  • fYear
    2001
  • fDate
    36951
  • Firstpage
    359
  • Lastpage
    363
  • Abstract
    An intelligent parallel regulator is proposed to improve the performance of electric power systems. The improved stabilizer consists of a conventional power system stabilizer (PSS) working in parallel with a selected adaptive PSS. A fuzzy logic assessment block performs the functional paralleling of the two controllers to achieve a desired performance. The effectiveness of the proposed stabilizer is demonstrated through simulation studies for selected different operating conditions
  • Keywords
    fuzzy logic; fuzzy set theory; intelligent control; power system control; power system stability; self-adjusting systems; adaptive power system stabilizer; fuzzy linguistic rules assessment; intelligent parallel controller; Automatic control; Control systems; Educational institutions; Fuzzy control; Fuzzy logic; Fuzzy sets; Power engineering and energy; Power system simulation; Regulators; Signal processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Theory, 2001. Proceedings of the 33rd Southeastern Symposium on
  • Conference_Location
    Athens, OH
  • Print_ISBN
    0-7803-6661-1
  • Type

    conf

  • DOI
    10.1109/SSST.2001.918546
  • Filename
    918546