Adaptive Detection of DC Arc Faults Based on Hurst Exponents and Current Envelope

被引：0
|
作者：
Abdullah, Yousef [1 ]
Hu, Boxue [1 ]
Wei, Zhou [1 ]
Wang, Jin [1 ]
Emrani, Amin [2 ]
机构：
[1] Ohio State Univ, Dept Elect & Comp Engn, Columbus, OH 43210 USA
[2] Ford Motor Co, Dearborn, MI 48121 USA
来源：
THIRTY-THIRD ANNUAL IEEE APPLIED POWER ELECTRONICS CONFERENCE AND EXPOSITION (APEC 2018) | 2018年
关键词：
dc arc; Hurst exponent; wavelet; fft;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper, an improved adaptive method for dc arc faults detection is proposed based on current envelope and Hurst exponents. The method is developed to be used in dc electrical distribution systems (EDS) including PV systems, DC micro-grids, and 48 V mild hybrid electric vehicles. The proposed method is shown to be effective in arc detection and immune to switching harmonics, high di/dt transients, sudden load changes, and noisy load profiles. A test setup is built and several hundred dc arcs were generated under different operation conditions including air gap, current, and various electrode thicknesses.
引用
收藏
页码：3392 / 3397
页数：6
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