• DocumentCode
    769155
  • Title

    Design of augmented fuzzy logic power system stabilizers to enhance power systems stability

  • Author

    Toliyat, Hamid A. ; Sadeh, Javad ; Ghazi, Reza

  • Author_Institution
    Dept. of Electr. Eng., Texas A&M Univ., College Station, TX, USA
  • Volume
    11
  • Issue
    1
  • fYear
    1996
  • fDate
    3/1/1996 12:00:00 AM
  • Firstpage
    97
  • Lastpage
    103
  • Abstract
    This paper presents an augmented fuzzy logic power system stabilizer (PSS) for stability enhancement of multimachine power systems. In order to accomplish a satisfactory damping characteristic over a wide range of operating points, speed deviation (Δω) and acceleration (Δω) of a synchronous generator were taken as the input signals to the fuzzy controller. It is well known that these variables have significant effects on damping the generators´ shaft mechanical oscillations. A modification of the terminal voltage feedback signal to the excitation system as a function of the accelerating power on the unit, is also used to enhance the stability of the system. The stabilizing signals are computed using the standard fuzzy membership function depending on these variables. The performance of the proposed augmented fuzzy controller is compared to an optimal controller and its effectiveness is demonstrated by a detailed digital computer simulation of a single machine infinite bus and a multimachine power systems
  • Keywords
    control system synthesis; controllers; damping; digital simulation; feedback; fuzzy control; power system analysis computing; power system control; power system stability; synchronous generators; acceleration; augmented fuzzy logic power system stabilizers; damping characteristic; digital computer simulation; fuzzy membership function; input signals; multimachine power systems; optimal controller; power systems stability enhancement; shaft mechanical oscillations; single machine infinite bus; speed deviation; terminal voltage feedback signal; Acceleration; Damping; Fuzzy control; Fuzzy logic; Mechanical variables control; Optimal control; Power system stability; Power systems; Shafts; Synchronous generators;
  • fLanguage
    English
  • Journal_Title
    Energy Conversion, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8969
  • Type

    jour

  • DOI
    10.1109/60.486582
  • Filename
    486582