• DocumentCode
    2770743
  • Title

    Loss Power Minimization Using Particle Swarm Optimization

  • Author

    Esmin, Ahmed A. A.

  • Author_Institution
    Fed. Univ. of Ouro Preto, Ouro Preto
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    1988
  • Lastpage
    1992
  • Abstract
    This paper presents a particle swarm optimization (PSO) as an efficient approach for loss reduction study. This issue can be formulated as a nonlinear optimization problem. The proposed approach employs the PSO algorithm for optimal setting of optimal power flow (OPF) based on loss minimization (LM) function. The study is carried out in two steps. First, by using the tangent vector technique, the critical area of the power system is identified under the point of view of voltage instability. Second, once this area is identified, the PSO technique calculates the amount of shunt reactive power compensation that takes place in each bus. The proposed approach has been examined and tested on the standard IEEE 30-bus test system. The results are promising and show the effectives of the proposed approach.
  • Keywords
    load flow; particle swarm optimisation; loss power minimization; nonlinear optimization problem; optimal power flow; particle swarm optimization; Birds; Load flow; Minimization methods; Nonlinear equations; Particle swarm optimization; Power system modeling; Power systems; Reactive power; System testing; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 2006. IJCNN '06. International Joint Conference on
  • Conference_Location
    Vancouver, BC
  • Print_ISBN
    0-7803-9490-9
  • Type

    conf

  • DOI
    10.1109/IJCNN.2006.246945
  • Filename
    1716355