Automatic fault location on distribution network using voltage sags measurements

Haiyu Li, Ahmad S. Mokhar, Nick Jenkins

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Abstract

    This paper presents a method that combines a power system analysis program, a database search method and a pattern recognition technique to identify a faulty section in a typical 11kV distribution network automatically. The method uses a three-phase unbalanced load flow and fault analysis program to analytically generate a voltage sag database for faults on all nodes in the distribution network. Database search and pattern recognition algorithms were developed to identify the faulty section when an actual fault occurs anywhere on the distribution network. The proposed method was evaluated and tested on the distribution network using EMTDC, a power system simulator.
    Original languageEnglish
    Title of host publicationIEE Conference Publication|IEE Conf Publ
    Pages477-480
    Number of pages3
    Volume3
    DOIs
    Publication statusPublished - 2005
    EventEighteenth International Conference and Exhibition on Electricity Distribution, CIRED 2005, Technical Reports - Session 1: Network Components - Turin
    Duration: 1 Jul 2005 → …

    Conference

    ConferenceEighteenth International Conference and Exhibition on Electricity Distribution, CIRED 2005, Technical Reports - Session 1: Network Components
    CityTurin
    Period1/07/05 → …

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