• DocumentCode
    1307767
  • Title

    Comprehensive Distribution Network Fault Location Using the Distributed Parameter Model

  • Author

    Nouri, Hassan ; Alamuti, Mohsen Mohammadi

  • Author_Institution
    Univ. of the West of England, Bristol, UK
  • Volume
    26
  • Issue
    4
  • fYear
    2011
  • Firstpage
    2154
  • Lastpage
    2162
  • Abstract
    A typical low- or medium-voltage distribution feeder consists of numerous branches as well as laterals and heterogenic conductor lines. The lack of measurement points and the presence of unbalanced loads make it more complicated for the construction of fault-location algorithms. In this paper, a brief and comprehensive review is presented which introduces and compares published papers in this area to date. In addition, the authors have devised a single-end fault-location algorithm using the distributed parameter model to overcome all of the aforementioned limitations in distribution feeders. The validity of the devised algorithm is studied within the PSCAD-EMTDC environment. This model provides more accurate results as the distributed nature of losses and capacitive effects are considered whereas in the available algorithms, these are ignored. A comparison which is made between the proposed method and two of the most complete available algorithms shows the superiority of our algorithm. Also, the proposed algorithm is able to locate various fault types in the network that has different phase laterals unbalanced loads and heterogeneity of the feeder line.
  • Keywords
    fault location; power distribution faults; PSCAD-EMTDC environment; conductor lines; distributed parameter model; distribution feeder; distribution network fault location; single-end fault-location algorithm; Algorithm design and analysis; Circuit faults; Distributed parameter systems; Fault location; Mathematical model; Distribution feeder; fault location; single end;
  • fLanguage
    English
  • Journal_Title
    Power Delivery, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8977
  • Type

    jour

  • DOI
    10.1109/TPWRD.2011.2161620
  • Filename
    5999746