Research on DC arc fault detection in PV systems based on adjacent multi-segment spectral similarity and adaptive threshold model
H Qian, B Lee, Z Wu, GP Wang - Solar Energy, 2023 - Elsevier
This paper proposes a practical adaptive detection method of series DC arc that could be
more adaptable to PV systems' intricate and complex environment than conventional …
more adaptable to PV systems' intricate and complex environment than conventional …
A Novel deep stack-based ensemble learning approach for fault detection and classification in photovoltaic arrays
The widespread adoption of green energy resources worldwide, such as photovoltaic (PV)
systems to generate green and renewable power, has prompted safety and reliability …
systems to generate green and renewable power, has prompted safety and reliability …
An AdaBoost ensemble model for fault detection and classification in photovoltaic arrays
The photovoltaic (PV) arrays are susceptible to numerous faults. Fault diagnosis is essential
in improving a PV system's output power, reliability, and life span. This research paper …
in improving a PV system's output power, reliability, and life span. This research paper …
Health monitoring and fault detection in photovoltaic systems in central greece using artificial neural networks
E Roumpakias, T Stamatelos - Applied Sciences, 2022 - mdpi.com
Featured Application The health monitoring of a photovoltaic park is essential for a number
of reasons, including early action to safeguard the profitability of investment and the timely …
of reasons, including early action to safeguard the profitability of investment and the timely …
A novel method for detection and location of series arc fault for non-intrusive load monitoring
K Dowalla, P Bilski, R Łukaszewski, A Wójcik… - Energies, 2022 - mdpi.com
Series arc faults cause the majority of household fires involving electrical failures or
malfunctions. Low-fault current amplitude is the reason for the difficulties faced in …
malfunctions. Low-fault current amplitude is the reason for the difficulties faced in …
[HTML][HTML] Enhancing microgrid forecasting accuracy with SAQ-MTCLSTM: A self-adjusting quantized multi-task ConvLSTM for optimized solar power and load demand …
Accurate forecasting of solar power output and load demand is critical for the efficient
operation and management of isolated microgrids, where reliability and sustainability are …
operation and management of isolated microgrids, where reliability and sustainability are …
Partial Discharge Signal Pattern Recognition of Composite Insulation Defects in Cross-Linked Polyethylene Cables
C Qin, X Zhu, P Zhu, W Lin, L Liu, C Che, H Liang… - Sensors, 2024 - mdpi.com
To investigate the pattern recognition of complex defect types in XLPE (cross-linked
polyethylene) cable partial discharges and analyze the effectiveness of identifying partial …
polyethylene) cable partial discharges and analyze the effectiveness of identifying partial …
Series Arc Fault Characteristics and Detection Method of a Photovoltaic System
R Pang, W Ding - Energies, 2023 - mdpi.com
The DC arc is the main cause of fire in photovoltaic (PV) systems. This is due to the fact that
the DC arc has no zero-crossing point and is prone to stable combustion. Failure to detect it …
the DC arc has no zero-crossing point and is prone to stable combustion. Failure to detect it …
Fast Arc Detection Technology Based on Fractal Dimension for SADA Slip Ring in Satellite Power System
Y Meng, E Zhang, D Zhang, X Zhu, H Zhu, A Li - Energies, 2024 - mdpi.com
The solar array drive assembly (SADA) slip ring is a critical link that provides electrical
power and electric signal transmission between solar arrays and satellite power systems …
power and electric signal transmission between solar arrays and satellite power systems …
Photovoltaic DC arc fault detection method based on deep residual shrinkage network
P Zhang, Y Xue, R Song, X Ma, D Sheng - Journal of Power Electronics, 2024 - Springer
Distributed photovoltaic systems have encountered unprecedented opportunities for
development given their environmentally friendly nature and flexible power generation …
development given their environmentally friendly nature and flexible power generation …