• DocumentCode
    649848
  • Title

    Fuzzy-based coordinated control design for AVR and PSS in multi-machine power systems

  • Author

    Khezri, Rahmat ; Bevrani, H.

  • Author_Institution
    Dept. of Electr. Eng., Univ. of Kurdistan, Kurdistan, Iran
  • fYear
    2013
  • fDate
    27-29 Aug. 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper presents the performance of intelligent fuzzy-based coordinated control for Automatic Voltage Regulator (AVR) and Power System Stabilizer (PSS) to prevent losing synchronism after a major sudden fault and to achieve appropriate post-fault voltage level in multi-machine power systems. The AVR and PSS gains can adaptively change to guarantee the power system stability after faults. To change in AVR and PSS gains at least one significant generator in each area is equipped with a fuzzy logic unit. The fuzzy logic unit accepts normalized deviation of terminal voltage and normalized phase difference as inputs and generates the favorable gains for AVR and PSS. The work describes the construction of appropriate fuzzy membership functions and rules for best tuning of gains. The proposed fuzzy control methodology has been applied to 11-bus 4-generator power system test case. Simulation results illustrate the effectiveness and robustness of this fuzzy-based coordinated control.
  • Keywords
    control system synthesis; fuzzy control; fuzzy logic; intelligent control; power system control; power system stability; voltage regulators; 11-bus 4-generator power system test case; AVR; PSS; automatic voltage regulator; fuzzy control methodology; fuzzy logic unit; fuzzy membership functions; fuzzy-based coordinated control design; intelligent fuzzy-based coordinated control; multimachine power systems; normalized phase difference; post-fault voltage level; power system stability; power system stabilizer; terminal voltage; AVR; Fuzzy control; PSS; Power system stability; normalize deviation; voltage regulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems (IFSC), 2013 13th Iranian Conference on
  • Conference_Location
    Qazvin
  • Print_ISBN
    978-1-4799-1227-8
  • Type

    conf

  • DOI
    10.1109/IFSC.2013.6675659
  • Filename
    6675659