• DocumentCode
    3077637
  • Title

    Power system stability by reducing power losses using optimization techniques

  • Author

    Deepa, S.N. ; Rizwana, J.

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Anna Univ. Regional Centre, Coimbatore, India
  • fYear
    2013
  • fDate
    26-28 Dec. 2013
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper compares the optimization technique such as Particle Swarm Optimization and Modified Particle Swarm Optimization, in a standard 3-Bus and 6-bus Power System. The objective function is to minimize the power losses such as Active Power and Reactive Power in order to reduce the voltage drop thereby improving the stability of the given power system. This paper also compares and shows the better optimization technique which is suited for reducing the power losses to maintain a stable power system.
  • Keywords
    particle swarm optimisation; power system stability; reactive power; 3-bus power system; 6-bus power system; modified particle swarm optimization; power loss reduction; power system stability; reactive power; Conferences; Optimization; Particle swarm optimization; Power system stability; Reactive power; Standards; Active Power (P); Evolutionary Computation (EC); Modified Particle Swarm Optimization (MPSO); Particle Swarm Optimization (PSO); Reactive Power (Q);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Computing Research (ICCIC), 2013 IEEE International Conference on
  • Conference_Location
    Enathi
  • Print_ISBN
    978-1-4799-1594-1
  • Type

    conf

  • DOI
    10.1109/ICCIC.2013.6724152
  • Filename
    6724152