This paper presents an extensive review of the most effective and modern monitoring
methods for electrical power lines, with particular attention to high-voltage (HV) and medium …

Meta-heuristic algorithms are problem-solving methods which try to find good-enough
solutions to very hard optimization problems, at a reasonable computation time, where …

Smart Grid (SG) is a multidisciplinary concept related to the power system update and
improvement. SG implies real-time information with specific communication requirements …

Detection and classification of transmission line (TL) faults are key factors for the fault root
cause analysis and rapid restoration of the power network. Deep learning can extract …

This paper introduces a novel self-attention convolutional neural network (SAT-CNN) model
for detection and classification (FDC) of transmission line faults. The transmission lines …

The permanency of highly-reliable power supply is a core trait of an electric power
transmission network. A transmission line is the main part of this network through which …

Aiming at the problem of the artificial setting of weights faced by the existing mathematical
models based on optimization theory for power system fault diagnosis, this paper presents …

According to statistic data, machinery faults contribute to largest proportion of High-voltage
circuit breaker failures, and traditional maintenance methods exist some disadvantages for …

Cyber-attacks can tamper with measurement data from physical systems via communication
networks of smart grids, which could potentially lead circuit breakers to trip creating a false …

In recent years, with the increasing requirements on power distribution utilities to ensure
system reliability and to improve customers and regulators satisfaction, utilities seek to find …