基于自回归参数模型的低压系统串联电弧故障识别

摘要

This paper presents a series of experimental research results of series arc fault current characteristics in the circuits supplying for typical low-voltage single–phase electric appliances by using the arc generating device.A method based on autoregressive parameter model is proposed to identify series arc fault in low-voltage system.Its processes are as follows： built a 3-order Burg autoregressive（AR） model for the collected current signals,extracted its AR model parameters,and then realized the identification of normal circuit and series arc fault circuit by comparing distance measurement based Euclidean distance squares d 2 of their current signals.Experiments show that this approach not only be adequate for linear loads,but also for non-linear loads.In this paper,current signal recognition problem between non-linear load circuit and series arc fault circuit in low-voltage system is solved.Further more,it suggests a recommended value of the reference vector.%利用电弧发生装置对若干典型的低压单相用电设备在串联故障电弧回路中的工作电流特征进行模拟实验研究,提出了基于自回归参数模型的低压系统串联电弧故障识别方法。采用三阶Burg自回归（autoregressive,AR）模型对采集的电流信号建模,提取其AR模型参数,然后采用基于距离测度的欧氏距离平方d 2实现对低压单相负载在正常回路和串联电弧故障回路电流信号的特征识别和故障辨识。该方法不仅适用于线性负载回路,而且适用于非线性负载回路的串联电弧故障识别。自回归参数模型法有效解决了低压系统串联电弧故障回路与非线性负载回路的电流信号识别问题,论文也同时提出了使用该方法时的参考矢量建议值。