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A Novel Arc Detection Method for DC Railway Systems

Author

Listed:
  • Yljon Seferi

    (Department of Electronic and Electrical Engineering, University of Strathclyde, Glasgow G1 1XQ, UK)

  • Steven M. Blair

    (Department of Electronic and Electrical Engineering, University of Strathclyde, Glasgow G1 1XQ, UK
    Synaptec Ltd., Glasgow G1 1XW, UK)

  • Christian Mester

    (Federal Institute of Metrology METAS, Lindenweg 50, 3003 Bern-Wabern, Switzerland)

  • Brian G. Stewart

    (Department of Electronic and Electrical Engineering, University of Strathclyde, Glasgow G1 1XQ, UK)

Abstract

Electric arcing due to contact interruption between the pantograph and the overhead contact line in electrified railway networks is an important and unwanted phenomenon. Arcing events are short-term power quality disturbances that produce significant electromagnetic disturbances both conducted and radiated as well as increased degradation on contact wire and contact strip of the pantograph. Early-stage detection can prevent further deterioration of the current collection quality, reduce excessive wear in the pantograph-catenary system, and mitigate failure of the pantograph contact strip. This paper presents a novel arc detection method for DC railway networks. The method quantifies the rate-of-change of the instantaneous phase of the oscillating pantograph current signal during an arc occurrence through the Hilbert transform. Application of the method to practical pantograph current data measurements, demonstrates that phase derivative is a useful parameter for detecting and localizing significant power quality disturbances due to electric arcs during both coasting and regenerative braking phases of a running locomotive. The detected number of arcs may be used to calculate the distribution of the arcs per kilometre as an alternative estimation of the current collection quality index and consequently used to assess the pantograph-catenary system performance. The detected arc number may also contribute to lowering predictive maintenance costs of pantograph-catenary inspections works as these can be performed only at determined sections of the line extracted by using arcing time locations and speed profiles of the locomotive.

Suggested Citation

  • Yljon Seferi & Steven M. Blair & Christian Mester & Brian G. Stewart, 2021. "A Novel Arc Detection Method for DC Railway Systems," Energies, MDPI, vol. 14(2), pages 1-21, January.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:2:p:444-:d:480929
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    References listed on IDEAS

    as
    1. Mahela, Om Prakash & Shaik, Abdul Gafoor & Gupta, Neeraj, 2015. "A critical review of detection and classification of power quality events," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 495-505.
    2. Yljon Seferi & Steven M. Blair & Christian Mester & Brian G. Stewart, 2020. "Power Quality Measurement and Active Harmonic Power in 25 kV 50 Hz AC Railway Systems," Energies, MDPI, vol. 13(21), pages 1-17, October.
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    Cited by:

    1. Sophie Coffey & Victor Timmers & Rui Li & Guanglu Wu & Agustí Egea-Àlvarez, 2021. "Review of MVDC Applications, Technologies, and Future Prospects," Energies, MDPI, vol. 14(24), pages 1-36, December.
    2. Andrea Mariscotti, 2021. "Power Quality Phenomena, Standards, and Proposed Metrics for DC Grids," Energies, MDPI, vol. 14(20), pages 1-41, October.
    3. Helko E. van den Brom & Ronald van Leeuwen & Gerasimos Maroulis & Samad Shah & Laurens Mackay, 2023. "Power Quality Measurement Results for a Configurable Urban Low-Voltage DC Microgrid," Energies, MDPI, vol. 16(12), pages 1-18, June.
    4. Andrea Mariscotti, 2023. "The Electrical Behaviour of Railway Pantograph Arcs," Energies, MDPI, vol. 16(3), pages 1-43, February.
    5. Mengzhe Jin & Man Hu & Hao Li & Yixuan Yang & Weidong Liu & Qingyuan Fang & Shanghe Liu, 2022. "Experimental Study on the Transient Disturbance Characteristics and Influence Factors of Pantograph–Catenary Discharge," Energies, MDPI, vol. 15(16), pages 1-20, August.

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