不同生弧原因下串联型故障电弧实验研究

串联型故障电弧是供电系统的常见故障,会严重影响供电可靠性,甚至引发供电安全事故。在搭建低压串联型故障电弧实验平台的基础上,以三相异步电机和三相变频器为实验负载,针对接触松动和机械振动两种原因引起的串联型故障电弧开展实验研究。利用集合经验模态分解EEMD(ensemble empirical mode decomposition)方法将实验电流信号分解为若干本征模态函数IMF (intrinsic modal function);选取前4阶IMF组成初始向量矩阵,对其进行奇异值分解SVD(singular value decomposition);构建以奇异值平均值为特征量的特征向量,从而获得了不同生弧方式下串联型故障电弧电流信号在奇异值大小上的变化规律。研究结果表明,对不同生弧原因引起的故障电流信号,将经EEMD分解得到的前4阶IMF分量的奇异值作为串联型电弧故障的特征量是可行的。

Experimental Study on Series Fault Arc Under Different Arcs

Series arc fault is a common fault in the power supply system, will seriously affect the reliability of power supply, and even lead to security incidents.A set of low voltage series arc fault test platform is set up in this paper. The series fault arc experiment is carried out for two arcs of arc and vibration. Three-phase asynchronous motor and three-phase inverter are used as experim1ental load.The EEMD method is used to decompose the current signal into several intrinsic modal functions (IMF).The first 4 order IMF is chosen to form the initial vector matrix, and the initial vector matrix is decomposed by SVD.The eigenvector with the singular value is taken as the characteristic vector. And the variation rule of the arc current signal of the series fault in the singular value is obtained.The results show that the singular value of the first 4 order IMF components obtained by EEMD decomposition of the fault current signal caused by different arcs is feasible as the characteristic quantity of tandem arc fault.