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首页> 外文期刊>IEEE Transactions on Plasma Science >A Series DC Arc Fault Detection Method Based on Steady Pattern of High-Frequency Electromagnetic Radiation
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A Series DC Arc Fault Detection Method Based on Steady Pattern of High-Frequency Electromagnetic Radiation

机译：基于高频电磁辐射稳定模式的直流电弧故障检测方法

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摘要

Due to detection difficulties, dc arc faults are one of the most dangerous risks in dc power systems. Most traditional studies are based on arc current, which may change during normal operation and cause unwanted trips. Another problem with the traditional methods is that the detection threshold may need to be adjusted for different photovoltaic (PV) systems; otherwise, it will cause malfunctions. To solve the aforementioned problems, a series arc fault detection method based on steady patterns of the frequency domain is proposed. The proposed method utilizes the electromagnetic radiation (EMR) emitted by an arc as a testing basis, avoiding the occurrence of unwanted trips. Patterns such as the structural similarity index (SSIM) and 6-dB bandwidth bins (6-dB BWBs) are calculated to extract the similarity of the steady-burning arc spectra. The experimental verification shows that the proposed steady-pattern-based method can accurately identify arc faults in different dc power systems, discriminate arc faults from normal operations, effectively avoid the occurrence of malfunctions, and can be used as a supplementary technique to traditional methods.
机译：由于检测困难，直流电弧故障是直流电源系统中最危险的风险之一。大多数传统研究都基于电弧电流，电弧电流在正常运行期间可能会发生变化并引起意外跳闸。传统方法的另一个问题是，可能需要针对不同的光伏（PV）系统调整检测阈值。否则会引起故障。为了解决上述问题，提出了一种基于频域稳定模式的串联电弧故障检测方法。所提出的方法利用电弧发射的电磁辐射（EMR）作为测试基础，避免了意外跳闸的发生。计算诸如结构相似性指数（SSIM）和6 dB带宽仓（6-dB BWB）之类的模式，以提取稳定燃烧电弧光谱的相似性。实验验证表明，所提出的基于稳定模式的方法可以准确地识别不同直流电源系统中的电弧故障，将电弧故障与正常运行区分开，有效地避免了故障的发生，并且可以用作传统方法的补充技术。

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