IDEAS home Printed from https://ideas.repec.org/a/igg/joris0/v10y2019i1p41-55.html
   My bibliography  Save this article

Stochastic Model for Preventing Blackouts: A Live Case

Author

Listed:
  • Michael Sony

    (Namibia University of Science and Technology, Windhoek, Namibia)

  • V. Mariappan

    (Agnel Institute of Technology and Design, Goa, India)

Abstract

Power system blackouts cause huge financial losses for the society and power utilities. Two types of blackouts have been identified. One involving load loss due to transmission lines reaching its limits and other involving failures of multiple transmission lines. Technologically advanced electricity transmission networks work in a financially just manner if a high rate of availability of the transmission networks is accomplished. Keeping this concept in mind, it is imperative to conduct the examination of transmission network availability, to design reliable electrical systems. This article discusses the stochastic availability modeling and analysis in transmission lines. The same is applied to a case of GED and the results obtained are discussed with the proper conclusion.

Suggested Citation

  • Michael Sony & V. Mariappan, 2019. "Stochastic Model for Preventing Blackouts: A Live Case," International Journal of Operations Research and Information Systems (IJORIS), IGI Global, vol. 10(1), pages 41-55, January.
    • Handle: RePEc:igg:joris0:v:10:y:2019:i:1:p:41-55
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJORIS.2019010103
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Şükrü İmre & Fatih Canıtez & Dilay Çelebi, 2021. "The Socio-Technical Transition to Electric Vehicle Mobility in Turkey: A Multi-Level Perspective," International Journal of Operations Research and Information Systems (IJORIS), IGI Global, vol. 12(4), pages 1-17, October.

    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:joris0:v:10:y:2019:i:1:p:41-55. 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.