Solar energy is a promising source of renewable energy, but its low efficiency, instability,
and high manufacturing costs remain a big challenge. Recently, machine learning (ML) …

The lack of fault data is the major constraint on data-driven fault detection and isolation
schemes for DC microgrids. To solve this problem, this paper develops an adversarial …

This comprehensive review paper provides a thorough examination of current
advancements and research in the field of arc fault detection for electrical distribution …

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 …

DC series arc faults pose a significant threat to the reliability of DC systems, particularly in
DC generation units where aging components and high voltage levels contribute to their …

Photovoltaic systems provide electrical power with reduced emissions at competitive costs
compared to legacy systems. A low or medium voltage dc distribution system is usually used …

If catastrophic failures in photovoltaic (PV) arrays are not identified promptly, then the output
power decreases, which is an undesirable performance and further it prompts sparking in …

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 …

In this article, series arc fault detection and identification is investigated for dc microgrids
using a statistical model based on nodal analysis. The consecutive sample difference of the …

Distributed photovoltaic systems have encountered unprecedented opportunities for
development given their environmentally friendly nature and flexible power generation …