Multi-Agent Distributed Deep Learning Algorithm to Detect Cyber-Attacks in Distance Relays
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 to pretend a fault has happened, and the distance relay must be tripped. Thus, a new powerful approach, named Multi-A...
Main Authors: | Meysam Rajaee, Kazem Mazlumi |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2023-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10025734/ |
Similar Items
-
Real-Time Co-Simulation for the Analysis of Cyber Attacks Impact on Distance Relay Backup Protection
by: Nadia Boumkheld, et al.
Published: (2024-01-01) -
Multi-Agent-Based Fault Location and Cyber-Attack Detection in Distribution System
by: Aiman J. Albarakati, et al.
Published: (2022-12-01) -
On Detecting Relay Attacks on RFID Systems Using Qubits
by: Aysajan Abidin
Published: (2020-05-01) -
Grid Cyber-Security Strategy in an Attacker-Defender Model
by: Yu-Cheng Chen, et al.
Published: (2021-04-01) -
Cyber Attack Prevention Based on Evolutionary Cybernetics Approach
by: Dmitry Zegzhda, et al.
Published: (2020-11-01)