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Analysis of the Effects of Arc Volt–Ampere Characteristics on Different Loads and Detection Methods of Series Arc Faults

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  • Qiwei Lu

    (School of Mechanical Electronic and Information Engineering, China University of Mining and Technology, Beijing 100083, China)

  • Zeyu Ye

    (School of Mechanical Electronic and Information Engineering, China University of Mining and Technology, Beijing 100083, China)

  • Yilei Zhang

    (School of Mechanical Electronic and Information Engineering, China University of Mining and Technology, Beijing 100083, China)

  • Tao Wang

    (School of Mechanical Electronic and Information Engineering, China University of Mining and Technology, Beijing 100083, China)

  • Zhixuan Gao

    (School of Mechanical Electronic and Information Engineering, China University of Mining and Technology, Beijing 100083, China)

Abstract

Owing to the shortcomings of existing series arc fault detection methods, based on a summary of arc volt–ampere characteristics, the change rule of the line current and the relationship between the voltage and current are deeply analyzed and theoretically explained under different loads when series arc faults occur. A series arc fault detection method is proposed, and the software flowchart and principles of the applied hardware implementation are given. Finally, a prototype of an arc fault detection device (AFDD) with a rated voltage of 220 V and a rated current of 40 A is developed. The prototype was tested according to experimental methods provided by the Chinese national standard, GB/T 31143-2014. The experimental results show that the proposed detection method is simple and practical, and can be implemented using a low-cost microprocessor. The proposed method will provide good theoretical guidance in promoting the research and development of an AFDD.

Suggested Citation

  • Qiwei Lu & Zeyu Ye & Yilei Zhang & Tao Wang & Zhixuan Gao, 2019. "Analysis of the Effects of Arc Volt–Ampere Characteristics on Different Loads and Detection Methods of Series Arc Faults," Energies, MDPI, vol. 12(2), pages 1-16, January.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:2:p:323-:d:199389
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    References listed on IDEAS

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    1. Hong-Keun Ji & Guoming Wang & Woo-Hyun Kim & Gyung-Suk Kil, 2018. "Optimal Design of a Band Pass Filter and an Algorithm for Series Arc Detection," Energies, MDPI, vol. 11(4), pages 1-13, April.
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    Cited by:

    1. Hong-Keun Ji & Sung-Wook Kim & Gyung-Suk Kil, 2020. "Phase Analysis of Series Arc Signals for Low-Voltage Electrical Devices," Energies, MDPI, vol. 13(20), pages 1-14, October.
    2. Karol Nowak & Jerzy Janiszewski & Grzegorz Dombek, 2021. "The Possibilities to Reduce Arc Flash Exposure with Arc Fault Eliminators," Energies, MDPI, vol. 14(7), pages 1-25, March.
    3. Giovanni Bucci & Fabrizio Ciancetta & Andrea Fioravanti & Edoardo Fiorucci & Simone Mari & Alberto Prudenzi, 2020. "Testing System for the On-Site Checking of Magneto-Thermal Switches with Arc Fault Detection," Energies, MDPI, vol. 13(18), pages 1-18, September.
    4. Karol Nowak & Jerzy Janiszewski & Grzegorz Dombek, 2019. "Thyristor Arc Eliminator for Protection of Low Voltage Electrical Equipment," Energies, MDPI, vol. 12(14), pages 1-15, July.
    5. Qiongfang Yu & Yaqian Hu & Yi Yang, 2019. "Identification Method for Series Arc Faults Based on Wavelet Transform and Deep Neural Network," Energies, MDPI, vol. 13(1), pages 1-12, December.

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