IDEAS home Printed from https://ideas.repec.org/a/igg/jeoe00/v1y2012i4p38-55.html
   My bibliography  Save this article

Optimal Reactive Power Dispatch Using Quasi-Oppositional Biogeography-Based Optimization

Author

Listed:
  • Provas Kumar Roy

    (Department of Electrical Engineering, Dr. B. C. Roy Engineering College, Durgapur, India)

  • Dharmadas Mandal

    (Department of Electrical Engineering, Birbhum Institute of Engineering and Technology-Suri, Suri, India)

Abstract

In this paper, quasi-oppositional biogeography based-optimization (QOBBO) for optimal reactive power dispatch (ORPD) is presented. The proposed methodology determines control variable settings such as generator terminal voltages, tap positions of the regulating transformer and the Var injection of the shunts compensator, for real power loss minimization in the transmission system. The algorithm’s performance is studied with comparisons of canonical genetic algorithm (CGA), five versions of particle swarm optimization (PSO), local search based self-adaptive differential evolution (L-SADE), seeker optimization algorithm (SOA), biogeography based optimization (BBO) on the IEEE 30-bus and IEEE 57-bus power systems. The simulation results show that the proposed QOBBO approach performed better than the other listed algorithms and can be efficiently used for the ORPD problem.

Suggested Citation

  • Provas Kumar Roy & Dharmadas Mandal, 2012. "Optimal Reactive Power Dispatch Using Quasi-Oppositional Biogeography-Based Optimization," International Journal of Energy Optimization and Engineering (IJEOE), IGI Global, vol. 1(4), pages 38-55, October.
    • Handle: RePEc:igg:jeoe00:v:1:y:2012:i:4:p:38-55
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijeoe.2012100103
    Download Restriction: no
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:igg:jeoe00:v:1:y:2012:i:4:p:38-55. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.