Load frequency control under false data inject attacks based on multi-agent system method in multi-area power systems

Load frequency control under false data inject attacks based on multi-agent system method in multi-area power systems

This article considers the load frequency control of multi-area power system-based multi-agent system method under false data injection attacks. The research can provide better solutions for multi-area power system load frequency control under false data injection attacks. First, an event-triggered...

Full description

Bibliographic Details
Main Authors:	Tengfei Weng, Yan Xie, Guorong Chen, Qi Han, Yuan Tian, Liping Feng, Yangjun Pei
Format:	Article
Language:	English
Published:	Hindawi - SAGE Publishing 2022-04-01
Series:	International Journal of Distributed Sensor Networks
Online Access:	https://doi.org/10.1177/15501329221090469

Similar Items

Detection and Estimation of False Data Injection Attacks for Load Frequency Control Systems
by: Jun Ye, et al.
Published: (2022-01-01)

Fuzzy Adaptive Approaches for Robust Containment Control in Nonlinear Multi-Agent Systems under False Data Injection Attacks
by: Ammar Alsinai, et al.
Published: (2024-08-01)

The Detection of False Data Injection Attack for Cyber–Physical Power Systems Considering a Multi-Attack Mode
by: Buxiang Zhou, et al.
Published: (2023-09-01)

Securing Bipartite Nonlinear Fractional-Order Multi-Agent Systems against False Data Injection Attacks (FDIAs) Considering Hostile Environment
by: Hanen Louati, et al.
Published: (2024-07-01)

Detection of False Data Injection Attacks on Load Frequency Control System with Renewable Energy Based on Fuzzy Logic and Neural Networks
by: Ziyu Chen, et al.
Published: (2022-01-01)

Optimizing CNN-LSTM for the Localization of False Data Injection Attacks in Power Systems
by: Zhuo Li, et al.
Published: (2024-08-01)

Review of the false data injection attack against the cyber-physical power system
by: Qi Wang, et al.
Published: (2019-06-01)

Control Conditions for Equal Power Sharing in Multi-Area Power Systems for Resilience Against False Data Injection Attacks
by: Zahoor Ahmed, et al.
Published: (2024-11-01)

Distribution System State Estimation and False Data Injection Attack Detection with a Multi-Output Deep Neural Network
by: Sepideh Radhoush, et al.
Published: (2023-02-01)

Strategy optimization of false data injection attack on AC-DC hybrid systems
by: XIE Yunyun, et al.
Published: (2023-07-01)

False data injection attack method against AC-DC hybrid systems
by: XIE Yunyun, et al.
Published: (2022-01-01)

A multi-stage low-cost false data injection attack method for power CPS
by: YI Na, et al.
Published: (2023-11-01)

Coordinated False Data Injection Attacks in AGC System and Its Countermeasure
by: Xi He, et al.
Published: (2020-01-01)

False Data Injection Attack Detection in Power Systems Based on Cyber-Physical Attack Genes
by: Zhaoyang Qu, et al.
Published: (2021-03-01)

Detecting Malicious False Frame Injection Attacks on Surveillance Systems at the Edge Using Electrical Network Frequency Signals
by: Deeraj Nagothu, et al.
Published: (2019-05-01)

False Data Injection Attack Detection Method Based on Deep Learning With Multi-Scale Feature Fusion
by: Jinpeng Ji, et al.
Published: (2024-01-01)

Detection of false data injection attacks in smart grid cyber-physical systems
by: Li, Beibei
Published: (2019)

Reachability-Based False Data Injection Attacks and Defence Mechanisms for Cyberpower System
by: Ren Liu, et al.
Published: (2022-02-01)

Detection of False Data Injection Attack in AGC System Based on Random Forest
by: Zhengwei Qu, et al.
Published: (2023-01-01)

Structural-Constrained Methods for the Identification of False Data Injection Attacks in Power Systems
by: Gal Morgenstern, et al.
Published: (2022-01-01)

A Controllable False Data Injection Attack for a Cyber Physical System
by: Janghoon Yang
Published: (2021-01-01)

Iterative Learning Control for Load Frequency in Cyber-Attacked Multi-Area Power Systems
by: Nezar M. Al-Yazidi, et al.
Published: (2023-01-01)

Electric load forecasting under False Data Injection Attacks using deep learning
by: Arash Moradzadeh, et al.
Published: (2022-11-01)

Multi‐data classification detection in smart grid under false data injection attack based on Inception network
by: H. Pan, et al.
Published: (2024-10-01)

Localization Detection of False Data Injection Attacks in Novel Energy and Power Systems Based on Correlated Feature‐Multi‐Label Cascading Boosted Forests
by: Lei Wang, et al.
Published: (2025-02-01)

Modeling and detecting false data injection attacks against railway traction power systems
by: Lakshminarayana, Subhash, et al.
Published: (2019)

Distributed Energy Management for Port Power System under False Data Injection Attacks
by: Qihe Shan, et al.
Published: (2022-01-01)

Secure State Estimation of DC Microgrid System Under False Data Injection Attack
by: Jiawei Mao, et al.
Published: (2024-01-01)

Survey of machine learning methods for detecting false data injection attacks in power systems
by: Ali Sayghe, et al.
Published: (2020-10-01)

Impact analysis of false data injection attacks on power system static security assessment
by: Jiongcong Chen, et al.
Published: (2016-01-01)

OLTC-Induced False Data Injection Attack on Volt/VAR Optimization in Distribution Systems
by: Daranith Choeum, et al.
Published: (2019-01-01)

Data-Driven Load Frequency Control for Multi-Area Power System Based on Switching Method under Cyber Attacks
by: Guangqiang Tian, et al.
Published: (2024-05-01)

Research on load frequency control of multi‐microgrids in an isolated system based on the multi‐agent soft actor‐critic algorithm
by: Li Long Xie, et al.
Published: (2024-05-01)

False Data Injection Attacks on Contingency Analysis: Attack Strategies and Impact Assessment
by: Jeong-Won Kang, et al.
Published: (2018-01-01)

CFDI: Coordinated false data injection attack in active distribution network
by: Yang Liu, et al.
Published: (2024-08-01)

Secure LQG control for a Quadrotor under false data injection attacks
by: Hong Lin, et al.
Published: (2022-06-01)

Event-Triggered Security Consensus for Multi-Agent Systems with Markov Switching Topologies under DoS Attacks
by: Yuan Tian, et al.
Published: (2022-07-01)

Resilient Configuration of Distribution System versus False Data Injection Attacks Against State Estimation
by: reza behnam, et al.
Published: (2022-12-01)

Accurate Detection of False Data Injection Attacks in Renewable Power Systems Using Deep Learning
by: Fayha Almutairy, et al.
Published: (2021-01-01)

Analysis of cascading failures of power cyber-physical systems considering false data injection attacks
by: Jian Li, et al.
Published: (2021-04-01)