• DocumentCode
    3238935
  • Title

    Adaptive PSO Based Tuning of PID- Fuzzy and SVC-PI Controllers for Dynamic Stability Enhancement: A Comparative Analysis

  • Author

    Sridhar, M. ; Vaisakh, K. ; Murthy, K. S Linga

  • Author_Institution
    Dept. of Electr. & Electron. Engg, Godavari Inst. of Eng. & Technol., Dajahmundry, India
  • fYear
    2009
  • fDate
    16-18 Dec. 2009
  • Firstpage
    985
  • Lastpage
    990
  • Abstract
    The power system is a dynamic system. Satisfactory damping of power oscillations is an important concern when dealing with the rotor angle stability. To improve the damping of oscillations in power systems, supplementary control laws can be applied to existing devices. In this paper, a PID fuzzy controller structure and optimal PI controller of a static Var compensator (SVC) are presented and implemented on single machine infinite bus system for improving the oscillations damping. The parameters of both the PID fuzzy controller and SVC-PI controllers are tuned by the adaptive particle swarm optimization (APSO).
  • Keywords
    PI control; adaptive control; control system synthesis; particle swarm optimisation; power system control; power system dynamic stability; rotors; static VAr compensators; three-term control; PID-fuzzy controllers; SVC-PI controllers; adaptive PSO based tuning; adaptive particle swarm optimization; dynamic stability; power system; rotor angle stability; single machine infinite bus system; static var compensator; Adaptive control; Control systems; Damping; Fuzzy control; Power system analysis computing; Power system control; Power system dynamics; Power system stability; Programmable control; Stability analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Emerging Trends in Engineering and Technology (ICETET), 2009 2nd International Conference on
  • Conference_Location
    Nagpur
  • Print_ISBN
    978-1-4244-5250-7
  • Electronic_ISBN
    978-0-7695-3884-6
  • Type

    conf

  • DOI
    10.1109/ICETET.2009.21
  • Filename
    5395000