Machine learning applications in health monitoring of renewable energy systems

B Ren, Y Chi, N Zhou, Q Wang, T Wang, Y Luo… - … and Sustainable Energy …, 2024 - Elsevier
Rapidly evolving renewable energy generation technologies and the ever-increasing scale
of renewable energy installations are driving the need for more accurate, faster, and smarter …

DC arc-fault detection based on empirical mode decomposition of arc signatures and support vector machine

W Miao, Q Xu, KH Lam, PWT Pong… - IEEE Sensors …, 2020 - ieeexplore.ieee.org
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 …

Intelligent DC arc-fault detection of solar PV power generation system via optimized VMD-based signal processing and PSO–SVM classifier

X Cai, RJ Wai - IEEE Journal of Photovoltaics, 2022 - ieeexplore.ieee.org
In a solar photovoltaic (PV) power generation system, arc faults including series arc fault
(SAF) and parallel arc fault (PAF) may occur due to aging of joints or other reasons. It may …

Recognition method of AC series arc fault characteristics under complicated harmonic conditions

C Han, Z Wang, A Tang, H Gao… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Due to the power quality problems and the use of some nonlinear loads such as soft starters,
rectifiers, and frequency converters, the circuit current will contain complicated harmonic …

Recurrence plots based method for detecting series arc faults in photovoltaic systems

A Amiri, H Samet, T Ghanbari - IEEE Transactions on Industrial …, 2021 - ieeexplore.ieee.org
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 …

An enhanced Cassie–Mayr-based approach for DC series arc modeling in PV systems

M Jalil, H Samet, T Ghanbari… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
DC series arc faults are known as a great threat in photovoltaic (PV) systems that may lead
to fire and electric shock hazards. This article concentrates on driving effective models …

Series arc fault detection using regular signals and time-series reconstruction

R Jiang, Y Zheng - IEEE Transactions on Industrial Electronics, 2022 - ieeexplore.ieee.org
This article investigates into signal regularity in ac series arc fault (SAF) detection. The
regularity can solve the vital problem that SAF current characteristics change or disappear in …

Multicharacteristics arc model and autocorrelation-algorithm based arc fault detector for DC microgrid

W Miao, Z Wang, F Wang, KH Lam… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
DC microgrids contribute to the increasing penetration of renewable energies. However, a
dc arc fault will lead to malfunctions and even fire hazards in a dc microgrid. To ensure the …

Identifying DC series and parallel arcs based on deep learning algorithms

HL Dang, S Kwak, S Choi - IEEE Access, 2022 - ieeexplore.ieee.org
Arc phenomena are usually related to the undesired disengagement of two electrical
connections. The emission power discharge from the failure arc may damage wiring and can …

AC Series Arc Fault Detection Based on RLC Arc Model and Convolutional Neural Network

R Jiang, Y Wang, X Gao, G Bao, Q Hong… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
AC series arc faults in the power system can lead to electrical fires. However, the
generalization performance of the determined detection method would be affected under …