TY - GEN
T1 - Analysis of Arc Characteristics and Fault Detection in Low Voltage DC System
AU - Xiao, Xiaolong
AU - Su, Wei
AU - Guo, Jiahao
AU - Zhang, Chen
AU - Xiong, Qing
AU - Di, Zhenguo
AU - Ji, Shengchang
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - As the DC power system is more and more widely used in electric vehicles, aerospace, electric ships and energy storage systems. DC arc faults occur frequently in these systems. Therefore, it is necessary to analyze the characteristics of the dc arc and detect the arc fault timely. Firstly, a low voltage dc arc fault experiment platform is built, and the voltage and current of the DC arc under different test conditions including load types, circuit current amplitude, electrode material and electrode spacing are measured. The amplitude and frequency spectrum of the arc current of the DC arc are analyzed. Additionally, the influence of parameters on the high frequency characteristics of the arc current are investigated. Finally, based on the characteristics of DC arc current, the characteristic parameters of arc fault detection are extracted, and a DC arc fault detection method is proposed.
AB - As the DC power system is more and more widely used in electric vehicles, aerospace, electric ships and energy storage systems. DC arc faults occur frequently in these systems. Therefore, it is necessary to analyze the characteristics of the dc arc and detect the arc fault timely. Firstly, a low voltage dc arc fault experiment platform is built, and the voltage and current of the DC arc under different test conditions including load types, circuit current amplitude, electrode material and electrode spacing are measured. The amplitude and frequency spectrum of the arc current of the DC arc are analyzed. Additionally, the influence of parameters on the high frequency characteristics of the arc current are investigated. Finally, based on the characteristics of DC arc current, the characteristic parameters of arc fault detection are extracted, and a DC arc fault detection method is proposed.
KW - DC arc
KW - DC distribution system
KW - Fault detection
KW - High frequency
UR - https://www.scopus.com/pages/publications/85123693021
U2 - 10.1109/SPIES52282.2021.9633862
DO - 10.1109/SPIES52282.2021.9633862
M3 - 会议稿件
AN - SCOPUS:85123693021
T3 - 2021 3rd International Conference on Smart Power and Internet Energy Systems, SPIES 2021
SP - 105
EP - 109
BT - 2021 3rd International Conference on Smart Power and Internet Energy Systems, SPIES 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 3rd International Conference on Smart Power and Internet Energy Systems, SPIES 2021
Y2 - 25 September 2021 through 28 September 2021
ER -
