The tendencies and perspective directions of development of modern digital devices of relay
protection and automation (RPA) are considered. One of the promising ways to develop …

The application of machine learning (ML) to power and energy systems (PES) is being
researched at an astounding rate, resulting in a significant number of recent additions to the …

This paper presents a methodology for simultaneous fault detection, classification, and
topology estimation for adaptive protection of distribution systems. The methodology …

Adaptive protection is defined as a real-time system that can modify the protective actions
according to the changes in the system condition. An adaptive protection system (APS) is …

Interest in the application of DC Microgrids to distribution systems have been spurred by the
continued rise of renewable energy resources and the dependence on DC loads. However …

The present study addresses the issue of varying fault locations within a distribution system,
which leads to fluctuations in short-circuit currents and requires the implementation of …

The objective of this technical report is to outline the challenges of protection design for
power systems rich in inverter-based resources (IBRs), synthesize current industrial …

DC microgrids are a promising solution for integrating distributed generation into the main
grid. These microgrids comprise distributed generation units, energy storage systems, loads …

This paper presents a methodology to estimate the distributed circuit topology and analyze
the occurrence of faults at different locations in a distribution circuit. The experiments …

This study introduces envelope-and machine learning (ML)-based electrical fault type
detection algorithms for electrical distribution grids, advancing beyond traditional logic …