摘要
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 com- ponents 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 de- tail 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 effec- tively used to detect arc fault.
出处
《福州大学学报（自然科学版）》
CAS
CSCD
北大核心
2013年第5期869-874,共6页
Journal of Fuzhou University(Natural Science Edition)
关键词
低压配电线路
电弧故障
启动电流
小波变换
low -voltage distribution power line
arc fault
start current
wavelet transform
