Multi-Agent Distributed Deep Learning Algorithm to Detect Cyber-Attacks in Distance Relays
M Rajaee, K Mazlumi - IEEE Access, 2023 - ieeexplore.ieee.org
Distance relays are critical components in protection systems of power grids that can be
attacked by cyber-attackers. Indeed, a cyber-attacker injects fake data into a distance relay …
attacked by cyber-attackers. Indeed, a cyber-attacker injects fake data into a distance relay …
A deep learning-based cyberattack detection system for transmission protective relays
The digitalization of power systems over the past decade has made the cybersecurity of
substations a top priority for regulatory agencies and utilities. Proprietary communication …
substations a top priority for regulatory agencies and utilities. Proprietary communication …
Deep learning-based integrated attack detection framework to protect distance relays against cyberattacks
The cyber security of communication-assisted intelligent relays at the IEC61850-enabled
modern digital substations has become a prime concern among power companies and …
modern digital substations has become a prime concern among power companies and …
Preventing false tripping cyberattacks against distance relays: A deep learning approach
YM Khaw, AA Jahromi, AM FM… - … for smart grids …, 2019 - ieeexplore.ieee.org
The false tripping of circuit breakers initiated by cyberattacks on protective relays is a
growing concern in power systems. This is of high importance because multiple false …
growing concern in power systems. This is of high importance because multiple false …
Anomaly-based detection of cyberattacks on line current differential relays
Currently, the architecture of Line Current Differential Relays (LCDRs) is designed to
respond to internal faults on the protected line using local and remotely-communicated …
respond to internal faults on the protected line using local and remotely-communicated …
Deep Learning-Based Cyber-Attack Detection Model for Smart Grids
M Mohammadi, A Aflaki, A Kavousifard… - arXiv preprint arXiv …, 2023 - arxiv.org
In this paper, a novel artificial intelligence-based cyber-attack detection model for smart
grids is developed to stop data integrity cyber-attacks (DIAs) on the received load data by …
grids is developed to stop data integrity cyber-attacks (DIAs) on the received load data by …
Design and evaluation a distance relay model based on artificial neural networks (ANN)
MA Alashter, OG Mrehel… - 2020 6th IEEE …, 2020 - ieeexplore.ieee.org
Delivering high-quality electrical power requires an efficient, reliable protective system that
can handle failures on transmission lines, which occur due to varies random causes …
can handle failures on transmission lines, which occur due to varies random causes …
Data-mining model-based enhanced differential relaying scheme for microgrids
S Samal, SR Samantaray, NK Sharma - IEEE Systems Journal, 2022 - ieeexplore.ieee.org
The article presents a data-mining model-based enhanced differential relaying scheme for
fault detection and classification task in the microgrids. The proposed research work aims to …
fault detection and classification task in the microgrids. The proposed research work aims to …
Deep learning with long short-term memory networks for diagnosing faults in smart grids
Diagnosing components' faults is of great importance in the distributed network of
components which make up smart grids, to avoid cascading failures that can lead to …
components which make up smart grids, to avoid cascading failures that can lead to …
Improving the Performance of Distance Relay-Based Artificial Neural Network
M Dashtdar, M Belik, A Yadav… - 2022 IEEE 3rd KhPI …, 2022 - ieeexplore.ieee.org
Distance relays for protection of power transmission lines used, which can be based on fixed
stings Adjusted. But usually, the amplitude of operation of these relays changes with …
stings Adjusted. But usually, the amplitude of operation of these relays changes with …