• DocumentCode
    2168774
  • Title

    An efficient solution to load-frequency control using fuzzy-based predictive scheme in a two-area interconnected power system

  • Author

    Mazinan, A.H. ; Kazemi, M.F.

  • Author_Institution
    South Tehran Branch, Electr. Eng. Dept., Islamic Azad Univ. (IAU), Tehran, Iran
  • Volume
    1
  • fYear
    2010
  • fDate
    26-28 Feb. 2010
  • Firstpage
    289
  • Lastpage
    293
  • Abstract
    This work deals with a novel load-frequency control (LFC) using the fuzzy-based predictive scheme in a two-area interconnected power system. At first, the power system needs to be modeled and subsequently the Takagi-Sugeno-Kang (TSK) fuzzy-based approach using the linear generalized predictive control (LGPC) scheme is realized to implement on the system presented. In order to demonstrate the effectiveness of the proposed strategy, simulations are carried out and the results are compared with those obtained using the nonlinear GPC (NLGPC) as a benchmark approach. The results verify the validity of the proposed fuzzy-based predictive control scheme in comparison with the previous one.
  • Keywords
    frequency control; fuzzy control; linear systems; load regulation; power system control; power system interconnection; predictive control; Takagi-Sugeno-Kang fuzzy based approach; fuzzy based predictive scheme; linear generalized predictive control; load frequency control; two area interconnected power system; Control systems; Frequency; Power system control; Power system interconnection; Power system modeling; Power system simulation; Power system stability; Power systems; Predictive control; Predictive models; Multi-area interconnected power system; Takagi-Sugeno-Kang fuzzy-based approach; linear generalized predictive control scheme; loadfrequency control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Automation Engineering (ICCAE), 2010 The 2nd International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-5585-0
  • Electronic_ISBN
    978-1-4244-5586-7
  • Type

    conf

  • DOI
    10.1109/ICCAE.2010.5451950
  • Filename
    5451950