IDEAS home Printed from https://ideas.repec.org/a/spr/ijsaem/v9y2018i1d10.1007_s13198-016-0471-x.html
   My bibliography  Save this article

Enhanced ant colony optimization to solve the optimal power flow with ecological emission

Author

Listed:
  • Vijay Raviprabakaran

    () (Anna University Regional Campus)

  • Ravichandran Coimbatore Subramanian

    (Sri Ramakrishna Engineering College)

Abstract

Abstract Enhanced ant colony optimization algorithm is exhibit to resolve the optimal power flow with ecological emission in this article. The chief objective is to reduce the total fuel cost of fossil thermal power generators and ecological emission. The exhibited technique sustains the satisfactory level of retaining the bus voltages, real and reactive power and power flow in transmission lines. It minimizes the computational time with satisfying all the power flow limitations. The projected technique validates on an IEEE 30 and 118 bus test system. The simulation results were promising when compared with the other techniques. Further, the outcomes clear that this technique is effective for resolving the power system with large ranged networks.

Suggested Citation

  • Vijay Raviprabakaran & Ravichandran Coimbatore Subramanian, 2018. "Enhanced ant colony optimization to solve the optimal power flow with ecological emission," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 9(1), pages 58-65, February.
  • Handle: RePEc:spr:ijsaem:v:9:y:2018:i:1:d:10.1007_s13198-016-0471-x
    DOI: 10.1007/s13198-016-0471-x
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s13198-016-0471-x
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    As the access to this document is restricted, you may want to search for a different version of it.

    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:spr:ijsaem:v:9:y:2018:i:1:d:10.1007_s13198-016-0471-x. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Sonal Shukla) or (Rebekah McClure). General contact details of provider: http://www.springer.com .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.