Research on Low-Voltage AC Series Arc-Fault Detection Method Based on Electromagnetic Radiation Characteristics

Yi Ke, Wenbin Zhang, Chunguang Suo, Yanyun Wang and Yanan Ren
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Yi Ke: College of Mechanical and Electrical Engineering, Kunming University of Science and Technology, Kunming 650504, China
Wenbin Zhang: College of Mechanical and Electrical Engineering, Kunming University of Science and Technology, Kunming 650504, China
Chunguang Suo: College of Science, Kunming University of Science and Technology, Kunming 650504, China
Yanyun Wang: College of Science, Kunming University of Science and Technology, Kunming 650504, China
Yanan Ren: College of Science, Kunming University of Science and Technology, Kunming 650504, China

Energies, 2022, vol. 15, issue 5, 1-17

Abstract: Arc fault is an important cause of electrical fire. At present, the arc-fault detection method based on current and voltage is vulnerable to the influence of a nonlinear load and switching operation in the line, resulting in misjudgment and omission. Therefore, an arc-fault detection method based on the characteristics of electromagnetic radiation is proposed. A low-voltage AC series arc-fault simulation platform is built, and a simple annular antenna is designed to receive an electromagnetic radiation signal. It is proved by experiments that electromagnetic radiation signals have similar characteristic frequencies (13.6–14.2 MHz) under different currents, loads, arc positions and arc occurrence times. At the same time, the electromagnetic radiation signal of a low-voltage AC series arc and normal switching operations are compared. The pulse oscillation time of the radiation signals of the operating arc (2 μs) is far shorter than that of the faulty arc (4 μs), and the characteristic frequency of the radiation signal generated by the switching operation (9.35 MHz) is significantly lower than that of the series arc radiation signal (14 MHz). Compared with the existing methods, this method does not need to consider the influence of current, nonlinear load and other factors in the line, and can accurately distinguish the operating arc and faulty arc.

Keywords: arc-fault detection method; electromagnetic radiation; loop antenna; characteristic frequency; operating arc (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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