• DocumentCode
    734968
  • Title

    Diversity Enhanced Particle Swarm Optimization based Optimal Reactive Power Dispatch

  • Author

    Mini, V. ; Sunil Kumar, T.K.

  • Author_Institution
    Dept. of Electr. Eng., Nat. Inst. of Technol., Calicut, India
  • fYear
    2015
  • fDate
    24-26 June 2015
  • Firstpage
    170
  • Lastpage
    175
  • Abstract
    Reactive Power Dispatch (RPD) problem is a complex nonlinear problem involving integer, discrete and continuous types of control variables. This paper proposes a novel algorithm for solving the RPD problem using Diversity Enhanced Particle Swarm Optimization (DEPSO) technique. The proposed method offers an effective technique for solving Mixed Integer Discrete Continuous (MIDC) problems; hence suitable for the RPD problem. The effectiveness of the proposed method is reflected on the rounding off of control variables to the nearest integer or nearest available discrete values. With the implementation of the solution obtained in real time applications, the system becomes less prone to voltage instability. In this paper, DEPSO is applied to standard IEEE 30-bus test system. The results obtained are compared with those of basic PSO method.
  • Keywords
    IEEE standards; integer programming; load dispatching; particle swarm optimisation; reactive power control; DEPSO technique; IEEE 30-bus test system; MIDC problem; RPD problem; diversity enhanced particle swarm optimization based optimal reactive power dispatch; mixed integer discrete continuous problem; Niobium; Planning; Diversity Enhanced PSO; Diversity factor; Mixed Integer Discrete Continuous problem; Reactive Power Dispatch;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advancements in Power and Energy (TAP Energy), 2015 International Conference on
  • Conference_Location
    Kollam
  • Type

    conf

  • DOI
    10.1109/TAPENERGY.2015.7229612
  • Filename
    7229612