关键词: 串联电弧故障, 电弧电压, 时间差分变化量, 末端电压, 电压变化率

Abstract:

The detection of series arc faults is greatly affected by the type of load,and traditional fault detection methods that use current characteristics have the difficulty of setting threshold criteria. In response to this issue,an online detection method for series arc faults based on the time difference variation of load side voltage is proposed.By identifying the presence of fault arc voltage in the circuit, the arc fault detection is achieved. By using the adjacent wave inspection mode,the suspected arc fault voltage fault signal is detected,and then the reference waveform detection mode is triggered to confirm the arc fault.The test results show that the success rate of identifying the number of fault arcs of various loads is more than 95%. With the development of power Internet of Things and smart home technology, the proposed method provides a new idea for series arc fault detection.

Key words: series arc fault, arc voltage, time difference variation, terminal voltage, voltage change ratio