• DocumentCode
    2279316
  • Title

    Genetic algorithm based simultaneous coordination of PSS and FACTS controllers for power oscillations damping

  • Author

    Narne, Rajendraprasad ; Panda, P.C. ; Therattil, Jose P.

  • Author_Institution
    Dept. of Electr. Eng., Nat. Inst. of Technol., Rourkela, India
  • fYear
    2012
  • fDate
    24-27 Sept. 2012
  • Firstpage
    85
  • Lastpage
    90
  • Abstract
    This paper proposes a new design for the coordination control of power system stabilizer (PSS) and flexible ac transmission systems (FACTS) devices to enhance the damping of power oscillations. The controller gains of a linearized power system are optimized instantaneously using genetic algorithm (GA) to achieve an objective function, which maximizes the function, so that the total damping ratios of the system are optimized. Here the power system employed with PSS and a SVC as well as TCSC based controllers. Finally, the proposed coordinated controller performance is tested with both eigen value analysis and time domain simulations. Four different control schemes for power oscillations damping of test power system are employed and the results are compared.
  • Keywords
    damping; eigenvalues and eigenfunctions; flexible AC transmission systems; genetic algorithms; oscillations; power system stability; power transmission control; time-domain analysis; FACTS controller; GA; PSS; SVC; TCSC based controller; eigenvalue analysis; flexible AC transmission system; genetic algorithm; power oscillation damping; power system stabilizer; power system testing; time domain simulation; Damping; Genetic algorithms; Mathematical model; Power capacitors; Power system stability; Static VAr compensators; Thyristors; Coordination; FACTS Controllers; Genetic algorithm; Power system stabilizer;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sustainable Energy Technologies (ICSET), 2012 IEEE Third International Conference on
  • Conference_Location
    Kathmandu
  • ISSN
    2165-4387
  • Print_ISBN
    978-1-4577-1870-0
  • Electronic_ISBN
    2165-4387
  • Type

    conf

  • DOI
    10.1109/ICSET.2012.6357380
  • Filename
    6357380