Due to their unbalanced nature, asymmetrical faults usually have an adverse impact on
power systems in comparison with symmetrical faults. In this article, we propose a …

The prediction of smart grid stability represents a challenging research problem because
this information can be very useful for the identification of the participants that lead to …

Smart grid plays a crucial role for the smart society and the upcoming carbon neutral society.
Achieving autonomous smart grid fault detection is critical for smart grid system state …

Cascading overload failures occurred in power systems due to higher penetration of
renewable energy resources (RERs), which causes uncertainty in a grid. To overcome these …

Fault management study in smart grid systems (SGSs) is important to ensure the stability of
the system. Also, it is important to know the major types of power failures for the effective …

A gradual move in the electric power industry towards Smart Grids brings several challenges
to the system operation such as preserving its resilience and ensuring security. As the …

Effective fault detection, classification, and localization are vital for smart grid self-healing
and fault mitigation. Deep learning has the capability to autonomously extract fault …

As a typical emerging application of cyber physical system, smart power grid is composed of
interdependent power grid and communication/control networks. The latter one contains …

Microgrids have been introduced to integrate more renewable resources onto the utility grid.
Bidirectionality and low fault current levels are issues that cause fault detection problems for …

Due to the advancements of electrical networks, the operators are able to employ a gamut of
information for assessing the state of the infrastructure facilitating diagnosis of potential …