IDEAS home Printed from https://ideas.repec.org/a/eee/reensy/v252y2024ics0951832024005349.html
   My bibliography  Save this article

Reliability modeling and optimization of a two-dimensional system considering performance sharing mechanism

Author

Listed:
  • Chen, Yefang
  • Wang, Yilai
  • Xiao, Hui
  • Peng, Rui

Abstract

Photovoltaic (PV) power generation systems are increasingly installed on the factory rooftop. The installed PV power generation system exits a two-dimensional structure since the factories are usually designed to be square or rectangular. Motivated by real industry practice, this research proposes a two-dimensional performance sharing reliability model for the factory rooftop PV power generation system, where a common bus exists in each row and across all rows. The component availability is affected by both internal failure and external impacts. The system reliability is the probability that each component can meet its own demand and each row can meet its required demand after performance sharing. To mitigate external impacts, the factory rooftop PV power generation system employs both overarching protection and individual protection measures. We extend the universal generating function (UGF) technique to propose a reliability evaluation algorithm and use the genetic algorithm (GA) to determine optimal protection resource allocation to improve system reliability. Further, the proposed two-dimensional performance sharing reliability model is extended to consider multiple phased-mission. Numerical studies indicate that both expanding common bus capacity and optimizing the protection allocation strategy are effective ways to improve the factory rooftop PV power generation system reliability.

Suggested Citation

  • Chen, Yefang & Wang, Yilai & Xiao, Hui & Peng, Rui, 2024. "Reliability modeling and optimization of a two-dimensional system considering performance sharing mechanism," Reliability Engineering and System Safety, Elsevier, vol. 252(C).
  • Handle: RePEc:eee:reensy:v:252:y:2024:i:c:s0951832024005349
    DOI: 10.1016/j.ress.2024.110462
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0951832024005349
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ress.2024.110462?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.

    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:eee:reensy:v:252:y:2024:i:c:s0951832024005349. 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: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/reliability-engineering-and-system-safety .

    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.