摘要
以低压串联故障电弧为研究对象,采集了几种常见用电设备单独及混合运行时的电流波形,采用Matlab软件对电流波形进行离散傅里叶变换(DFT),提出了基于谐波分量相对变化系数的低压串联故障电弧识别方法。仿真结果表明,设计方法能有效识别故障电弧的发生,为故障电弧断路器的研究提供参考。
This paper researched the low voltage series arc fault and collected the data of current waves of several typical electric equipment under arc fault and normal operation. DFT transform of current waveform was carried out by Matlab software and an identification method of low voltage series arc fault based on the harmonic component relative change coefficient was proposed. The simulation results show that this method can effectively identify whether the arc fault occur, to provide a reference for the study of arc fault circuit interrupters.
出处
《低压电器》
2013年第9期12-16,共5页
Low Voltage Apparatus
基金
十二五国家科技支撑计划项目(2011BAK03B06)
辽宁省科技厅自然科学基金项目(201202168)
关键词
故障电弧电气火灾
识别方法
离散傅里叶变换
谐波分量
故障电弧
断路器
arc fault
electric fire
identification method
discrete fourier transform (DFT)
harmonic component
arc fault circuit interrupter (AFCI)