• DocumentCode
    2548909
  • Title

    Improving power system damping using EP based PI controller

  • Author

    Kamari, N. A Mohamed ; Musirin, I. ; Othman, M.M.

  • Author_Institution
    Univ. Teknol. Mara, Shah Alam, Malaysia
  • fYear
    2011
  • fDate
    6-7 June 2011
  • Firstpage
    121
  • Lastpage
    126
  • Abstract
    This paper presents a new stochastic optimization technique for tuning conventional PI controller parameters of a static var compensator (SVC) which controls a synchronous machine. As a type of Flexible AC Transmission Systems (FACTS) device, SVC is designed and implemented to improve the damping of a synchronous generator. Computational intelligence technique based PI controller using SVC is implemented in this study. The study involves the development of PI controller for SVC placement, while computational intelligence technique is used to optimize the values of proportional gain, KP and interval gain, KI parameters of PI controller. Validation with respect to eigenvalues determination and synchronizing and damping torque coefficients (KS and KD) value confirmed that the proposed technique is effective to improve the angle stability problem.
  • Keywords
    PI control; flexible AC transmission systems; optimisation; power system stability; power transmission control; static VAr compensators; synchronous generators; EP controller; FACTS device; PI controller tuning; SVC; computational intelligence technique; damping torque coefficients; flexible AC transmission system device; power system damping; static var compensator; stochastic optimization technique; synchronous generator; Damping; Mathematical model; Power system stability; Rotors; Static VAr compensators; Torque; Damping Torque Coefficient; Evolutionary Programming; Particle Swarm Optimization; Synchronizing Torque Coefficient; Transient Stability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering and Optimization Conference (PEOCO), 2011 5th International
  • Conference_Location
    Shah Alam, Selangor
  • Print_ISBN
    978-1-4577-0355-3
  • Type

    conf

  • DOI
    10.1109/PEOCO.2011.5970459
  • Filename
    5970459