摘要
故障电弧是导致设备或线路电气火灾故障的原因之一。为了实现对配电系统中串联型故障电弧的快速诊断,文中提出了一种基于数学形态学的串联型故障电弧诊断方法。该方法利用数学形态学的开闭运算,有效地滤除电流信号中的噪声干扰,并通过多分辨率形态梯度(MMG)运算提取串联型故障电弧发生前后电流波形的突变特征,进而获取正常工作情况下和故障电弧发生时线路电流波形的形态梯度值。通过比较故障发生前后线路电流波形形态梯度值的大小,可以准确地判断出线路是否发生了电弧故障。该串联故障电弧诊断方法具有逻辑运算简单,计算量小且易于实现的特点。
Arc fault is one of the reasons which cause the equipment or lines electrical fire. In this paper,a novel diagnosis method of arc fault in series based on mathematical morphology is proposed in order to diagnose arc fault in series in distribution system rapidly. The noise interferences in the current signal can be filtrated effectively using the combination of morphological opening and closing operation, and the abrupt change features of current waveform from the pre and post during the arc fault in series could be exacted via the multi-resolution morphological gradient（MMG） computing. And then, the morphological gradient values of currentduring the normal working and arc fault conditions can be obtained. It can be judged accurately whether arc fault has been occurred or not by comparing the size of current morphology gradient values pre and post of the arc fault. The proposed method of arc fault in series diagnosis has advantages of simple logic operation, small computation amount and easy to realize.
出处
《高压电器》
CAS
CSCD
北大核心
2016年第9期190-195,共6页
High Voltage Apparatus
关键词
串联故障电弧
数学形态学
多分辨率形态梯度(MMG)
快速诊断
arc fault in series
mathematical morphology
multi-resolution morphological gradient（MMG）
rapid diagnosis
