通过实验模拟对低压配电线路电弧故障的特征进行分析研究,采用Mallat算法对低压线路电弧故障电流实施变换,获得各尺度小波变换的小波分量,与正常运行分量相比其故障特征明显,且高尺度的小波分量还可以抑制噪声干扰.为了避免配电线路中负载的启动电流,对电弧故障检测产生可能的误判影响,还对启动电流和电弧故障的小波分量加以比较.研究表明,多尺度小波变换可有效判别电弧故障及区分负载启动电流,在电弧故障检测中具有良好的鲁棒性.
The arc fault characteristics in low voltage distribution lines are experimentally researched in this paper. The Mallat algorithm is appointed to transform arc fault signal,the obtained detail components in different scales are compared to establish characteristic quantity. The results show that arc fault detail components drastically ascend compared to normal current,in addition the high scales detail components play part in noise elimination. Eventually the comparison between arc fault current and start current in detail components aimed at avoiding misjudgment shows that Mallat algorithm is effectively used to detect arc fault.