IDEAS home Printed from https://ideas.repec.org/a/sae/intdis/v11y2015i2p738237.html
   My bibliography  Save this article

Coverage Restoration Method for Wireless Sensor Networks of Distributed PV System

Author

Listed:
  • Zhixin Fu
  • Zhen Liu
  • Yue Yuan
  • Min Zhao
  • Qiaomu Li

Abstract

Continuous capacity increase of distributed grid-connected photovoltaic (PV) system produces more obvious disturbance on the grid. Monitoring network technology can provide protection for the safety and stability of power grid operation, but sensor nodes of the monitoring network will fall to failure due to environmental interference. According to the performance degradation problem caused by nodes failure in PV monitoring network, particle swarm optimization (PSO) of natural selection based on random weight is proposed in this paper to optimize monitoring performance. This method can restore the monitoring network by arousing redundant nodes. Simulation results show the effectiveness of the proposed algorithm.

Suggested Citation

  • Zhixin Fu & Zhen Liu & Yue Yuan & Min Zhao & Qiaomu Li, 2015. "Coverage Restoration Method for Wireless Sensor Networks of Distributed PV System," International Journal of Distributed Sensor Networks, , vol. 11(2), pages 738237-7382, February.
    • Handle: RePEc:sae:intdis:v:11:y:2015:i:2:p:738237
    DOI: 10.1155/2015/738237
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1155/2015/738237
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2015/738237?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
    ---><---

    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:sae:intdis:v:11:y:2015:i:2:p:738237. 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: SAGE Publications (email available below). General contact details of provider: .

    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.