Feature Extraction Method for High Impedance Ground Fault Localization in Radial Power Distribution Networks

Kåre Jean Jensen, Steen M. Munk, John Aasted Sørensen

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    Abstract

    A new approach to the localization of high impedance ground faults in compensated radial power distribution networks is presented. The total size of such networks is often very large and a major part of the monitoring of these is carried out manually. The increasing complexity of industrial processes and communication systems lead to demands for improved monitoring of power distribution networks so that the quality of power delivery can be kept at a controlled level. The ground fault localization method for each feeder in a network is based on the centralized frequency broadband measurement of three phase voltages and currents. The method consists of a feature extractor, based on a grid description of the feeder by impulse responses, and a neural network for ground fault localization. The emphasis of this paper is the feature extractor, and the detection of the time instance of a ground fault
    Original languageEnglish
    Title of host publicationAcoustics, Speech and Signal Processing, 1998. Proceedings of the 1998 IEEE International Conference on
    Volume2
    Place of PublicationNew York
    PublisherIEEE
    Publication date1998
    Pages1177-1180
    ISBN (Print)0-7803-4428-6
    DOIs
    Publication statusPublished - 1998
    Event1998 IEEE International Conference on Acoustics, Speech and Signal Processing - Seattle, United States
    Duration: 12 May 199815 May 1998
    Conference number: 23

    Conference

    Conference1998 IEEE International Conference on Acoustics, Speech and Signal Processing
    Number23
    Country/TerritoryUnited States
    CitySeattle
    Period12/05/199815/05/1998

    Bibliographical note

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