Adaptive detection of DC Arc faults based on hurst exponents and current envelope

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.

[1]  Jin Wang,et al.  Hurst exponent-based adaptive detection of Dc arc faults , 2017, 2017 IEEE Energy Conversion Congress and Exposition (ECCE).

[2]  Marko V. Jankovic,et al.  The Detection of Series Arc Fault in Photovoltaic Systems Based on the Arc Current Entropy , 2016, IEEE Transactions on Power Electronics.

[3]  Xiu Yao,et al.  Impact evaluation of series dc arc faults in dc microgrids , 2015, 2015 IEEE Applied Power Electronics Conference and Exposition (APEC).

[4]  Wang Li,et al.  Wavelet packet analysis applied in detection of low-voltage DC arc fault , 2009, 2009 4th IEEE Conference on Industrial Electronics and Applications.

[5]  T.J. Schoepf,et al.  Arc fault detection scheme for 42-V automotive DC networks using current shunt , 2006, IEEE Transactions on Power Electronics.

[6]  H. Blok.  On the nature of the stock market: Simulations and experiments , 2000, cond-mat/0010211.

[7]  T. Schoepf,et al.  Mitigation and analysis of arc faults in automotive DC networks , 2003, Proceedings of the Forty-Ninth IEEE Holm Conference on Electrical Contacts, 2003..