Characteristics and Detection of DC Arc in DC Power System

LIU Yuan; JI Shengchang; ZHU Lingyu; YAO Xiu; WANG Jin

doi:10.13296/j.1001-1609.hva.2015.02.004

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Characteristics and Detection of DC Arc in DC Power System

更新时间：2025-04-26

- Characteristics and Detection of DC Arc in DC Power System
- High VoltageApparatus Vol. 51, Issue 2, Pages: 24-29(2015)
- 作者机构：
  
  1. 西安交通大学电力设备电气绝缘国家重点实验室
  2. 俄亥俄州立大学高压与电力电子实验室
- 作者简介：
- 基金信息：
- DOI：10.13296/j.1001-1609.hva.2015.02.004
  CLC： TM501.2
- Published：2015
- 稿件说明：
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[1]刘源,汲胜昌,祝令瑜,姚秀,王瑾.直流电源系统中直流电弧特性及其检测方法研究[J].高压电器,2015,51(02):24-29.

LIU Yuan, JI Shengchang, ZHU Lingyu, et al. Characteristics and Detection of DC Arc in DC Power System[J]. High voltageapparatus, 2015, 51(2): 24-29.
[1]刘源,汲胜昌,祝令瑜,姚秀,王瑾.直流电源系统中直流电弧特性及其检测方法研究[J].高压电器,2015,51(02):24-29. DOI： 10.13296/j.1001-1609.hva.2015.02.004.

LIU Yuan, JI Shengchang, ZHU Lingyu, et al. Characteristics and Detection of DC Arc in DC Power System[J]. High voltageapparatus, 2015, 51(2): 24-29. DOI： 10.13296/j.1001-1609.hva.2015.02.004.

摘要

直流电源系统中因绝缘缺陷、接头松动引发的直流串联电弧

不易熄灭且难以检测

容易引发火灾、爆炸等安全事故

因此对直流电弧电气特性进行研究并提出有效的检测方法意义重大。笔者利用步进电机拖动电极分离模拟直流串联电弧

建立了模拟串联直流电弧试验平台。同时

提取了电弧电压和电流波形

在此基础上得到了串联直流电弧的伏安特性曲线。通过改变极间距离、电极形状、电极移动速度等因素研究了直流电弧产生和发展过程中电弧电流的变化规律。对电弧电流进行频域分析表明电弧电流的高频分量主要集中在10

00 k Hz的频率范围内。通过分析电源电压输出波形在相应时间窗内的脉冲特性

初步提出了一种基于电源电压输出突变的故障电弧的检测方案

为直流电弧特性及检测方法研究奠定了重要基础。

Abstract

The DC arc induced by insulation defect and loose joint in a DC power system is difficult to extinguish and to be detected

which may easily lead to accidents

such as fire and explosion. In this paper

the series DC arc is simulated by using a stepper motor to drag an electrode away from the fixed one. The voltage and current of the DC arc are detected for different gap distances

electrode shapes and speeds. Based on the experimental data

the U-I characteristic of the DC arc is obtained

and the influencing factors of the DC arc characteristics are analyzed. The spectrum analysis of the arc current shows that the high frequency energy concetrates in the band of 10 k Hz to 200 k Hz. In addition

by analyzing the pulse characteristics of output voltage waveform in corresponding window of time

a DC arc fault detection method is proposed based on the abrupt change of voltage output.

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