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 …

A Novel deep stack-based ensemble learning approach for fault detection and classification in photovoltaic arrays

E Lodhi, FY Wang, G Xiong, L Zhu, TS Tamir… - Remote Sensing, 2023 - mdpi.com
The widespread adoption of green energy resources worldwide, such as photovoltaic (PV)
systems to generate green and renewable power, has prompted safety and reliability …

An AdaBoost ensemble model for fault detection and classification in photovoltaic arrays

E Lodhi, FY Wang, G Xiong, A Dilawar… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
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 …

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 …

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 …

[HTML][HTML] Enhancing microgrid forecasting accuracy with SAQ-MTCLSTM: A self-adjusting quantized multi-task ConvLSTM for optimized solar power and load demand …

E Lodhi, N Dahmani, SMS Bukhari, S Gyawali… - Energy Conversion and …, 2024 - Elsevier
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 …

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 …

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 …

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 …

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 …