• DocumentCode
    1571744
  • Title

    A novel optimization technique for Linear Optimal Control and Power System Stabilizer in multi-machine power systems

  • Author

    Abniki, H. ; Asadi, A. ; Khajavi, P. ; Nabavi-Razavi, M.T.

  • Author_Institution
    Electr. & Comput. Eng. Sch., Univ. of Tehran, Tehran, Iran
  • fYear
    2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper presents a new parameter optimization technique in order to parameter optimization of Linear Optimal Control (LOC) and Power System Stabilizer (PSS) in multi-machine power system. The optimized LOC consists of the advantages of conventional stabilizers. Also, the proposed LOC demonstrates excellent performance with fast response in multi-machine power systems. These features are developed by extended simulations and different conditions. Also, the method employs transient parameters of Q-axis for PSS and LOC in order to better damping oscillations. Simulations are performed by MATLAB software and the results proved that the proposed optimized LOC and PSS significantly improve the dynamic response of the power system in various conditions and different disturbances. After coefficient calculation for multi-machine systems, regard to transient parameters of Q-axis, multi-machine LOC and PSS parameters are optimized and the results are extracted.
  • Keywords
    optimal control; optimisation; power system control; power system stability; Matlab software; PSS; dynamic response; linear optimal control; multimachine LOC; multimachine power systems; parameter optimization technique; power system stabilizer; Damping; Equations; Mathematical model; Optimization; Power system dynamics; Power system stability; Heffron-Phillips model; Linear Optimal Control; Power System Stabilizer; Transient parameter; multi-machine system; optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Environment and Electrical Engineering (EEEIC), 2011 10th International Conference on
  • Conference_Location
    Rome
  • Print_ISBN
    978-1-4244-8779-0
  • Type

    conf

  • DOI
    10.1109/EEEIC.2011.5874718
  • Filename
    5874718