IDEAS home Printed from https://ideas.repec.org/a/igg/jeoe00/v5y2016i3p63-79.html
   My bibliography  Save this article

System Reliability-based Optimization Method to Solve Unavailability of Electrical Energy

Author

Listed:
  • Mohammed Tamali

    (Faculty of Science and Technology, Bechar University, Bechar, Algeria)

  • Bouzidi Boumedienne

    (Shariket el Kahraba wa el Taket el Moutadiadida (SKTM), Bechar, Algeria)

  • Allali Ahmed

    (Oran University of Science and Technology Mohamed Boudiaf, Oran, Algeria)

Abstract

Industrial systems require reliable components. The interactions among components affect the system reliability. In this study, the electrical power system Robustness is evaluated among its sensitivity to potential changes in the intrinsic parameters. Reliability represents a state indicator. In this work, highlights are made on the importance of Maintenance in Sustaining the QoS of a System. Service, Usage, and Consumers are the three components that can seriously harm the System Reliability and especially in a southern regions conditions where temperatures can simply, reach high values. First, a model is proposed after which a series of tests follow for validation. System's Maintenance is a major factor that affects its Longevity within an acceptable Robustness. Therefore maintenance can be fatal to system operation. Maintenance means expected services with respect to recommended Usage and responding to Consumption Demand. For a given period t in time, the EN represents the indicator of the Electrical System Reliability.

Suggested Citation

  • Mohammed Tamali & Bouzidi Boumedienne & Allali Ahmed, 2016. "System Reliability-based Optimization Method to Solve Unavailability of Electrical Energy," International Journal of Energy Optimization and Engineering (IJEOE), IGI Global, vol. 5(3), pages 63-79, July.
  • Handle: RePEc:igg:jeoe00:v:5:y:2016:i:3:p:63-79
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJEOE.2016070104
    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:5:y:2016:i:3:p:63-79. 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.