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    An Experimental Study of Low-Current DC Series Arc Faults for Condition Monitoring Purpose

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    CIRED 2019 - 1075.pdf (661.9Kb)
    Paper number
    1075
    Conference name
    CIRED 2019
    Conference date
    3-6 June 2019
    Conference location
    Madrid, Spain
    Peer-reviewed
    Yes
    Metadata
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    Authors
    Lu, Shibo, University of New South Wales, Australia
    Chai, Hua, University of New South Wales, Australia
    Phung, B. T., University of New South Wales, Australia
    Zhang, Daming, University of New South Wales, Australia
    Abstract
    DC arc faults present a challenging protection problem in DC systems, such as photovoltaic and electric vehicle supply systems. Incidents of DC arc faults in DC systems are becoming more common especially for series arc faults, and if undetected, would finally cause severe damage to the systems. This paper studies DC series arc fault characteristics including quasi-stationary V-I characteristic and arc current spectrum characteristic. Based on experimental tests, the impacts of different load current levels, DC operating voltage levels, air gap lengths on arc current and its spectrum are investigated and evaluated. A new method based on wavelet packet decomposition combined with entropy theory has been developed to extract the common features of arc signals under different conditions. It is found that arc fault currents share some common wavelet-packet entropy in different bandwidths even if the fault conditions are different. The results provide better characterization of DC arcing phenomena and help to develop more effective detection algorithms.
    Publisher
    AIM
    Date
    2019-06-03
    Published in
    • CIRED 2019 Conference
    Permanent link to this record
    https://cired-repository.org/handle/20.500.12455/277
    http://dx.doi.org/10.34890/507
    ISSN
    2032-9644
    ISBN
    978-2-9602415-0-1

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