• DocumentCode
    251176
  • Title

    Voltage stability management with the help of optimization techniques

  • Author

    Azim, Md Imran ; Rana, Md Masud ; Bin Taufik, Jawad Tahmeed

  • Author_Institution
    Sch. of Eng. & Inf. Technol., Univ. of New South Wales, Canberra, ACT, Australia
  • fYear
    2014
  • fDate
    20-22 Dec. 2014
  • Firstpage
    532
  • Lastpage
    535
  • Abstract
    This paper deals with the injection of reactive power, which is vitally important in case of too much load variations, by means of Static VAr Compensator (SVC) so that both, the voltage profile and voltage stability of the power system can be improved. The reactive power management is formulated as an optimization problem that can be solved by the evolutionary advanced optimization algorithms. Two well known algorithms, namely linear algorithm and genetic algorithm are applied in this case and it has been found that the genetic algorithm gives more efficient outputs compared to the linear algorithm as it is based on the biological metaphor, in which best individuals are selected among parents and offspring generation. As far as this paper is concerned, 0.2 MVAR reactive power would be enough for voltage compensation and maintaining stability throughout the system.
  • Keywords
    genetic algorithms; linear programming; load management; power system management; power system stability; reactive power; static VAr compensators; SVC; biological metaphor; evolutionary advanced optimization algorithm; genetic algorithm; linear algorithm; load variation; power system voltage stability management; reactive power; reactive power management; static VAr compensator; voltage compensation; Genetic algorithms; Linear programming; Optimization; Power system stability; Reactive power; Stability criteria; Static VAr compensators; Genetic Algorithm; Linear Algorithm; SVC; System Stability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Computer Engineering (ICECE), 2014 International Conference on
  • Conference_Location
    Dhaka
  • Print_ISBN
    978-1-4799-4167-4
  • Type

    conf

  • DOI
    10.1109/ICECE.2014.7026861
  • Filename
    7026861