IDEAS home Printed from https://ideas.repec.org/a/ids/ijrsaf/v11y2017i1-2p132-151.html
   My bibliography  Save this article

Reliability estimation of photovoltaic system using Markov process and dynamic programming approach

Author

Listed:
  • Sonal Sindhu
  • Vijay Nehra
  • S.C. Malik

Abstract

Adoption of solar energy is still at early stage and has failed to reach expected levels because of presence of several impeding factors lying in its diffusion path. One of the major impediments in adoption of Photovoltaic (PV) systems is low efficiency due to frequent failures. With the worldwide growth of renewable energy, the importance of the aspect of the reliability and stability is getting close attention. Present study is oriented towards deriving the reliability measures of a PV system made up of three subsystems, i.e. PV array, inverter and transformer connected in series. The behaviours of Mean Time to System Failure (MTSF), availability and cost-benefit function have been analysed graphically. Present investigation reveals that inverter failure affects the performance of PV system in significant manner. To fix this issue, Dynamic Programming Approach (DPA) has been applied and 95% reliability has been achieved.

Suggested Citation

  • Sonal Sindhu & Vijay Nehra & S.C. Malik, 2017. "Reliability estimation of photovoltaic system using Markov process and dynamic programming approach," International Journal of Reliability and Safety, Inderscience Enterprises Ltd, vol. 11(1/2), pages 132-151.
    • Handle: RePEc:ids:ijrsaf:v:11:y:2017:i:1/2:p:132-151
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=88554
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    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:ids:ijrsaf:v:11:y:2017:i:1/2:p:132-151. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=98 .

    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.