Accurate and timely diagnosis of transmission line faults is key for reliable operations of
power systems. Existing fault-diagnosis methods rely on expert knowledge or extensive …

Quantum computing (QC) and deep learning have shown promise of supporting
transformative advances and have recently gained popularity in a wide range of areas. This …

This study proposes a nonclassical contemporary logic to treat uncertainties in fault section
estimation (FSE) in an electric power system (EPS). The innovation of this method is to …

This paper investigates the situation awareness issue of power system with massive
measured data. To address this issue, first, a graph-theory-based network partitioning …

The fuzzy Petri net is a promising and efficient approach that can tackle the complexities of
power system fault diagnosis. In this work, the temporal constraint between event …

In modern transmission systems, duplicated protections are widely employed to enhance
reliability, and global positioning system (GPS) substation clocks are set up to deliver a …

In order to accurately and effectively diagnose the transmission line faults of the power
system, a genetic-algorithm support vector machine and the DS evidence theory based fault …

Fault section diagnosis (FSD) of power systems plays an important role in power system
operation. In order to quickly and accurately diagnose the fault section or sections after the …

Fast and precise fault categorization, location estimate, and fault detection are crucial
because persistent faults can interrupt the power supply. The power outage zone will extend …

This study introduces a novel approach to power system fault diagnosis by synchronised
phasor measurements. Conventionally, faults are diagnosed through the status of protective …