IDEAS home Printed from https://ideas.repec.org/a/igg/jsesd0/v13y2022i2p1-24.html
   My bibliography  Save this article

A Mayfly Algorithm-Based Optimal Placement of Capacitor for the Minimization of Losses and Improvement of Voltage Profile in a Microgrid

Author

Listed:
  • Ibrahim Abdulhamid Datti

    (Sharda University, India)

  • Shiva Pujan Jaiswal

    (Sharda University, India)

  • Jaya Chitra

    (Sharda University, India)

  • Mustapha Muhammad Saidu

    (Sharda University, India)

Abstract

In this work, an algorithm based on mayfly is presented towards the optimal capacitor placement for the minimization of losses and improvement of the voltage profile. It employs the concept of fixed and switched capacitor with the former serves as an alternative to later. A factor based on loss sensitivity was employed in locating a candidate bus, this helps in search space reduction and optimal sizing and placement of capacitor were realized using the mayfly algorithm. The effectiveness of this technique was tested on the standard 10 bus and 15 bus radial distribution system which upon comparison the result surpassed that of the previous method .

Suggested Citation

  • Ibrahim Abdulhamid Datti & Shiva Pujan Jaiswal & Jaya Chitra & Mustapha Muhammad Saidu, 2022. "A Mayfly Algorithm-Based Optimal Placement of Capacitor for the Minimization of Losses and Improvement of Voltage Profile in a Microgrid," International Journal of Social Ecology and Sustainable Development (IJSESD), IGI Global, vol. 13(2), pages 1-24, March.
  • Handle: RePEc:igg:jsesd0:v:13:y:2022:i:2:p:1-24
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJSESD.302465
    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:jsesd0:v:13:y:2022:i:2:p:1-24. 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.