基于电弧电磁辐射的故障电弧识别

Arc fault detection based on electromagnetic radiation

随着用电系统中非线性负载的增多,根据故障电弧的电压电流特征进行故障电弧识别容易发生故障电弧的误判别。针对该问题,本文自主搭建了故障电弧模拟试验平台,并在不同负载下进行了串联故障电弧的模拟试验。在试验分析的基础上,提出了一种基于电弧电磁辐射信号的故障电弧识别方法,通过故障电弧时域信号的模极大值提取,得到故障电弧的电磁辐射信号特征值,并根据该特征值进行故障电弧的识别。试验结果表明,在计及距离衰减、屏蔽、非线性负载干扰以及传感器测量方位等影响因素的条件下,该方法能够实现故障电弧的有效识别,提高了故障电弧的识别准确率。

With the increase of non-linear loads in the power system, the misjudgments do exist when using the conventional arc fault recognition method based on arc voltage and current characteristics. This paper presents a method of series arc fault diagnosis based on the electromagnetic signals of arc fault using the experimental platform of arc fault and arcing fault experiment in different loads. By extracting the feature vector of the electromagnetic sig- nals of arc fault, the fault is diagnosed. The result of test shows that, considering the influences of distance attenu- ation, shielding, the condition of the nonlinear loads, disturbance and sensor orientation, etc. , the accuracy of the method for the identification of series arc fault has been improved.