Detection of unintentional islanding, defined as inadvertently separation of distributed
generators (DGs) from the utility grid, is a major challenging issue for modern distribution …

In recent years, both fields, AI and VRE, have received increasing attention in scientific
research. Thus, this article's purpose is to investigate the potential of DL-based applications …

Islanding detection is a critical task due to safety hazards and technical issues for the
operation of microgrids. Deep learning (DL) has been applied for islanding detection and …

With the integration of renewable energy resources into a distribution network, the power
system is witnessing a drastic transformation. In comparison with conventional resources …

One of the crucial challenges of the distribution network is the unintentionally isolated
section of electricity from the power network, called unintentional islanding. Unintentional …

This article presents a reliable islanding detection scheme for distributed generation (DG) to
minimize the nondetection zone using a pattern-recognition method. A hybrid time …

A new islanding detection method based on image classification with support vector
machine is proposed in this study. Histogram of oriented gradient features is extracted from …

Unintentional islanding is a problem in electrical distribution networks; it happens when the
central utility is unintentionally separated from the rest of the distributed power system. The …

Along with the numerous environmental and operational benefits of renewable energy
sources (RESs) integration into modern distribution networks, maintaining system security in …

The transition to green energy systems is vital for addressing climate change, with a focus
on renewable sources like wind and solar. This change requires substantial investment …