IDEAS home Printed from https://ideas.repec.org/a/pal/jorsoc/v52y2001i2d10.1057_palgrave.jors.2601044.html
   My bibliography  Save this article

A risk management model for improving operation and maintenance activities in electricity transmission networks

Author

Listed:
  • V M Rao Tummala

    (Eastern Michigan University)

  • C L Mak

    (China Light & Power Company)

Abstract

In this paper, we formulate a risk management model for improving operation and maintenance activities in electricity transmission. The model is based on the five core elements of risk identification, risk measurement, risk assessment, risk evaluation, risk control, and risk monitoring and is applied to an actual case study of improving equipment availability of an electricity transmission network through proper operation and maintenance of 440 kV switchgear. We find that the model can be applied effectively in identifying and assessing potential risks and developing appropriate corrective actions to contain and control the identified risks efficiently.

Suggested Citation

  • V M Rao Tummala & C L Mak, 2001. "A risk management model for improving operation and maintenance activities in electricity transmission networks," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 52(2), pages 125-134, February.
    • Handle: RePEc:pal:jorsoc:v:52:y:2001:i:2:d:10.1057_palgrave.jors.2601044
    DOI: 10.1057/palgrave.jors.2601044
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/palgrave.jors.2601044
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1057/palgrave.jors.2601044?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

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

    Citations

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


    Cited by:

    1. Lin Wang & Yuping Xing, 2022. "Risk Assessment of a Coupled Natural Gas and Electricity Market Considering Dual Interactions: A System Dynamics Model," Energies, MDPI, vol. 16(1), pages 1-18, December.
    2. Phoka Caiphus Rathebe & Setlamorago Jackson Mbazima, 2023. "Risk-Based Assessment of 132 kV Electric Distribution Substations and Proximal Residential Areas in the Mangaung Metropolitan Region," IJERPH, MDPI, vol. 20(5), pages 1-14, February.

    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:pal:jorsoc:v:52:y:2001:i:2:d:10.1057_palgrave.jors.2601044. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.palgrave-journals.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.