A comprehensive review of DC arc faults and their mechanisms, detection, early warning strategies, and protection in battery systems

W Xu, X Wu, Y Li, H Wang, L Lu, M Ouyang - Renewable and Sustainable …, 2023 - Elsevier
With the active promotion of green, low-carbon, and intelligent strategies in the energy
sector, the application of battery systems such as electric vehicles and energy storage …

Series DC arc fault detection based on ensemble machine learning

V Le, X Yao, C Miller, BH Tsao - IEEE Transactions on Power …, 2020 - ieeexplore.ieee.org
Series dc arc fault creates a fire hazard and negative impacts on the distribution bus if not
detected and isolated quickly. However, the detection of a series arc fault is challenging due …

[HTML][HTML] Series arc fault identification method based on multi-feature fusion

Q Gong, K Peng, W Wang, B Xu, X Zhang… - Frontiers in Energy …, 2022 - frontiersin.org
With the increase of various loads connected to the low-voltage distribution system, the
difficulty of identifying low-voltage series fault arcs has greatly increased, which seriously …

Multi-branch AC arc fault detection based on ICEEMDAN and LightGBM algorithm

Y Meng, Q Yang, S Chen, Q Wang, X Li - Electric Power Systems Research, 2023 - Elsevier
The operation characteristics of household appliances would interfere with the arc fault
detection. Especially in the case of the multi-branch circuit, the arc fault information is mixed …

Series arc fault detection based on current fluctuation and zero-current features

H Zhao, J Liu, J Lou - Electric Power Systems Research, 2022 - Elsevier
A series arc fault detection method based on current fluctuation features and zero-current
feature fusion is proposed. In view of the problems of series arc faults, such as the strong …

Series arc fault detection based on dual filtering feature selection and improved hierarchical clustering sensitive component selection

G Zou, G Fu, B Han, W Wang, C Liu - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
Affected by the downstream load of the line, the low-voltage ac series arc fault signal
presents nonlinear, nonstationary, and random characteristics, which bring great difficulties …

Series DC arc fault detection method for PV systems employing differential power processing structure

HP Park, M Kim, JH Jung… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Arc fault detection is an important process for ensuring the safety of PV and grid-connected
inverters and is essential for producing PV systems in real applications. However, it is …

Hurst-exponent-based detection of high-impedance DC arc events for 48-V systems in vehicles

Y Abdullah, J Shaffer, B Hu, B Hall… - … on Power Electronics, 2020 - ieeexplore.ieee.org
Expanding dc electrical distribution systems require improved detection and mitigation of dc
arc events. The high heat resulting from dc arcing raises concerns on equipment and …

Time–frequency distribution characteristic and model simulation of photovoltaic series arc fault with power electronic equipment

S Chen, X Li, Z Xie, Y Meng - IEEE Journal of Photovoltaics, 2019 - ieeexplore.ieee.org
In the photovoltaic (PV) system, the electrical characterization of series arc faults would be
inevitably interfered by power electronic equipment. Existing methods are unable to …

[HTML][HTML] Research on low-voltage AC series arc-fault detection method based on electromagnetic radiation characteristics

Y Ke, W Zhang, C Suo, Y Wang, Y Ren - Energies, 2022 - mdpi.com
Arc fault is an important cause of electrical fire. At present, the arc-fault detection method
based on current and voltage is vulnerable to the influence of a nonlinear load and …