Detection of Faulty Feeders and Phases in Resonant Grounded Power Distribution Networks for Bushfire Prone Areas using Measurements from Existing Field Devices

Susheel Kumar Pirmani*, Md Apel Mahmud

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    8 Citations (Scopus)
    27 Downloads (Pure)

    Abstract

    This article proposes a framework to detect faulty feeders and phases in resonant grounded distribution networks in bushfire-prone regions. It utilizes the filtered energy ratio (FER) of distinct feeders to identify faulty ones, which is determined by comparing individual and total feeder energies after filtering through an RC filter. The normalized energy ratio uses the equivalency of faulty feeder energy to total energy to discriminate between faulty (1) and healthy (0) feeders. The current ratio, which is calculated from phase current and total phase currents, is used to detect faulty phases where the direction of the current ratio facilitates faulty phase differentiation. All existing methods are limited to a minimum sampling rate of 5 kHz while confining for faults up to 10 kΩ though current measuring equipment can sample data at 2 kHz and fault impedances exceed this threshold. The purposed approach excels at detecting single line-to-ground faults in diverse impedance scenarios with a 2 kHz or even lower/higher sampling rate. The approach has been rigorously validated through simulations with fault impedances ranging from 0.1Ω to 0.1 MΩ along with some experiments under a certain scenario.
    Original languageEnglish
    Article number9001016
    Pages (from-to)1-16
    Number of pages16
    JournalIEEE Transactions on Instrumentation and Measurement
    Volume73
    Early online date25 Oct 2023
    DOIs
    Publication statusPublished - 6 Jan 2024

    Keywords

    • Circuit faults
    • Current measurement
    • Fault diagnosis
    • Faulty feeder detection
    • Frequency measurement
    • Impedance
    • Time-frequency analysis
    • Transient analysis
    • current ratio
    • energy ratio
    • faulty phase detection
    • high impedance faults
    • low sampling frequency
    • single line-to-ground faults

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