DC arc-fault detection based on empirical mode decomposition of arc signatures and support vector machine
Protection devices are extensively utilized in direct current (DC) systems to ensure their
normal operation and safety. However, series arc faults that establish current paths in the air …
normal operation and safety. However, series arc faults that establish current paths in the air …
Protection of low voltage DC microgrids: A review
The technological escalation in DC power generation from renewable energy sources has
attracted the attention of researchers to the concept of DC microgrids (DCMGs). However …
attracted the attention of researchers to the concept of DC microgrids (DCMGs). However …
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 …
difficulty of identifying low-voltage series fault arcs has greatly increased, which seriously …
Recurrence plots based method for detecting series arc faults in photovoltaic systems
Series arc faults (SAFs) are the most common faults in photovoltaic systems. If a SAF is not
detected in time, it may lead to some catastrophic damages to the system. This article …
detected in time, it may lead to some catastrophic damages to the system. This article …
A DC series arc fault detection method using line current and supply voltage
Q Lu, Z Ye, M Su, Y Li, Y Sun, H Huang - IEEE Access, 2020 - ieeexplore.ieee.org
In recent years, DC fault arc detection has been an electrical engineering research hotspot.
At present, most proposed detection methods do not analyze the effects of fault arc electrical …
At present, most proposed detection methods do not analyze the effects of fault arc electrical …
Series arc fault detection in photovoltaic systems based on signal-to-noise ratio characteristics using cross-correlation function
Series arc fault (SAF) is one of the most important causes for failure of photovoltaic (PV)
systems. Conventional protections could not detect SAF at initial moments. In this paper, a …
systems. Conventional protections could not detect SAF at initial moments. In this paper, a …
A DC series arc fault detection method based on a lightweight convolutional neural network used in photovoltaic system
Y Wang, C Bai, X Qian, W Liu, C Zhu, L Ge - Energies, 2022 - mdpi.com
Although photovoltaic (PV) systems play an essential role in distributed generation systems,
they also suffer from serious safety concerns due to DC series arc faults. This paper …
they also suffer from serious safety concerns due to DC series arc faults. This paper …
Protection of DC microgrids based on complex power during faults in on/off-grid scenarios
The DC microgrid is an effective platform for integration of renewable energy sources,
energy storage systems, and smart electronic loads. However, the integration of distributed …
energy storage systems, and smart electronic loads. However, the integration of distributed …
Reliable detection method of variable series arc fault in building integrated photovoltaic systems based on nonstationary time series analysis
S Chen, H Wu, Y Meng, Y Wang, X Li… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
Arc fault characteristics would be influenced by diverse system elements and operation
levels in building integrated photovoltaic (BIPV) systems, which would challenge the arc …
levels in building integrated photovoltaic (BIPV) systems, which would challenge the arc …
A deep learning approach for series DC arc fault diagnosing and real-time circuit behavior predicting
L **ng, Y Wen, S **ao, D Zhang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Electromagnetic interference (EMI) produced by series arc fault has long been a concern in
dc distribution systems. As EMI fault may lead to serious safety risks, it is important to detect …
dc distribution systems. As EMI fault may lead to serious safety risks, it is important to detect …