• DocumentCode
    577017
  • Title

    Optimum design of PSS and SVC controller for damping low frequency oscillation (LFO)

  • Author

    Hosseini, Hossein ; Tusi, Behrooz ; Razmjooy, Navid ; Khalilpoor, Mohsen

  • Author_Institution
    Eng. Dept. of Urmia, Urmia Univ., Urmia, Iran
  • fYear
    2011
  • fDate
    27-29 Dec. 2011
  • Firstpage
    62
  • Lastpage
    67
  • Abstract
    Progressing of the demand for electrical energy leads to loading the transmission system close to their limits which may leads to LFO happening. Low frequency oscillations (LFO) in power system usuallyhappen because of lack of damping torque to overcome disturbances in power system such as changes in mechanical power. Due to the existence of the low frequency oscillation (LFO), the transmission power of AC lines is limited and the system angle stability is affected. In this paper the Parameters of the classic PSS and SVC internal AC and DC voltage controllers are designed in order to damp the Low Frequency Oscillations (LFO). The design of PSS and SVC parameters is considered as an optimization problem and Hybrid Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) are used for searching optimized parameters. The results of the simulation show that the SVC with PID controllers is more effective in damping LFO compared to PSS with PID controllers.
  • Keywords
    control system synthesis; damping; genetic algorithms; oscillations; particle swarm optimisation; power system control; three-term control; GA; LFO; PID controllers; PSO; PSS controller; SVC controller; damping; electrical energy; genetic algorithm; low frequency oscillation; optimum design; particle swarm optimization; power system; Generators; Genetic algorithms; Optimization; Oscillators; Power system stability; Static VAr compensators; Thyristors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control, Instrumentation and Automation (ICCIA), 2011 2nd International Conference on
  • Conference_Location
    Shiraz
  • Print_ISBN
    978-1-4673-1689-7
  • Type

    conf

  • DOI
    10.1109/ICCIAutom.2011.6356631
  • Filename
    6356631