IDEAS home Printed from https://ideas.repec.org/a/epw/ejeng0/v5y2020i8id61690.html

Comparative Analysis of Fuzzy Inference System (FIS) And Adaptive Neuro-Fuzzy Inference System (ANFIS) Methods in the Classification and Location of High Impedance Faults on Distribution System

Author

Listed:
  • Nseobong I. Okpura

    (Department of Electrical/Electronic & Computer Engineering, University of Uyo, Nigeria)

  • E. N. C. Okafor

    (Department of Elect/Elect Engineering, Federal University of Technology, Owerri, Nigeria)

  • Kufre M. Udofia

    (Department of Electrical/Electronic & Computer Engineering, University of Uyo, Nigeria)

Abstract

Unlike low impedance faults, which involve relatively large magnitude of fault currents and are easily detected by conventional over-current protection devices, high impedance faults pose a serious challenge to protection engineers because they can remain on the system without the protective relays being able to detect them. This paper presents an improved method for detection and location of high impedance fault using ANFIS model. The study was conducted on the 33 kV Uyo-Ikot Ekpene power distribution line. The case study power distribution system was modeled using MATLAB software. HIFs were introduced at various locations along the distribution line. The data obtained from the MATLAB/Simulink simulated fault using discrete wavelet transform (DWT) were used to train the ANFIS for the location of HIF points along the distribution system as well as for prediction of the distance of the fault location to the nearest injection substation. The results show that ANFIS model gives 52.5 percentage reduction in error compared with FIS in the location of fault points on the case study power distribution system.

Suggested Citation

  • Nseobong I. Okpura & E. N. C. Okafor & Kufre M. Udofia, 2020. "Comparative Analysis of Fuzzy Inference System (FIS) And Adaptive Neuro-Fuzzy Inference System (ANFIS) Methods in the Classification and Location of High Impedance Faults on Distribution System," European Journal of Engineering and Technology Research, European Open Science, vol. 5(8), pages 966-969, August.
    • Handle: RePEc:epw:ejeng0:v:5:y:2020:i:8:id:61690
    DOI: 10.24018/ejeng.2020.5.8.1690
    as

    Download full text from publisher

    File URL: https://eu-opensci.org/index.php/ejeng/article/view/61690
    File Function: Abstract page
    Download Restriction: no
    File URL: https://eu-opensci.org/index.php/ejeng/article/download/61690/12476
    File Function: Full text
    Download Restriction: no
    File URL: https://libkey.io/10.24018/ejeng.2020.5.8.1690?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

    Keywords

    ;
    ;
    ;
    ;

    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:epw:ejeng0:v:5:y:2020:i:8:id:61690. 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: Support (email available below). General contact details of provider: https://eu-opensci.org/index.php/ejeng .

    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.