IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v6y2013i3p1421-1438d24011.html
   My bibliography  Save this article

A Novel Routing Algorithm for Power Line Communication over a Low-voltage Distribution Network in a Smart Grid

Author

Listed:
  • Liang Zhang

    (Harbin Institute of Technology, Harbin 150001, China)

  • Xiaosheng Liu

    (Harbin Institute of Technology, Harbin 150001, China)

  • Yan Zhou

    (Harbin Institute of Technology, Harbin 150001, China)

  • Dianguo Xu

    (Harbin Institute of Technology, Harbin 150001, China)

Abstract

A novel artificial cobweb routing algorithm (ACRA) for routing the tree-type physical topology of a low-voltage distribution network in a smart grid is proposed and analyzed in this paper. The establishment, maintenance and reconstruction of the route are presented. The artificial cobweb routing algorithm is shown to have broad general applicability for power line communication. To provide a theoretical foundation for further research, the communication delay of the network is calculated accurately. Simulation analysis of the communication delay and throughputs, which were based on Opnet14.5, demonstrate the accuracy of the theoretical calculation. For the performance evaluation of ACRA, a test-bed that includes PLC nodes with the ACRA is set up in a noisy environment. Experimental results show the feasibility of the ACRA algorithm. These indicate that ACRA is effective for guaranteeing Quality of Service (QoS) and reliability in power line communication.

Suggested Citation

  • Liang Zhang & Xiaosheng Liu & Yan Zhou & Dianguo Xu, 2013. "A Novel Routing Algorithm for Power Line Communication over a Low-voltage Distribution Network in a Smart Grid," Energies, MDPI, vol. 6(3), pages 1-18, March.
    • Handle: RePEc:gam:jeners:v:6:y:2013:i:3:p:1421-1438:d:24011
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/6/3/1421/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/6/3/1421/
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Ying Cui & Xiaosheng Liu & Jian Cao & Dianguo Xu, 2018. "Network Performance Optimization for Low-Voltage Power Line Communications," Energies, MDPI, vol. 11(5), pages 1-25, May.

    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:gam:jeners:v:6:y:2013:i:3:p:1421-1438:d:24011. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.