Power System Stability Analysis From Cyber Attacks Perspective

被引:2
作者
Semertzis, Ioannis [1 ]
Stefanov, Alexandru [1 ]
Presekal, Alfan [1 ]
Kruimer, Bas [1 ,2 ]
Torres, Jose Luis Rueda [1 ]
Palensky, Peter [1 ]
机构
[1] Delft Univ Technol, Dept Elect Sustainable Energy, NL-2628 CD Delft, Netherlands
[2] DNV Energy Syst, Digital Grid Operat, NL-6812 AR Arnhem, Netherlands
基金
荷兰研究理事会;
关键词
Power system stability; Cyberattack; Thermal stability; Reviews; Surveys; Stability criteria; Computer security; Cyber-attacks; cyber security; cyber-physical power systems; power system stability; resilience; smart grid; DATA-INJECTION ATTACKS; LOAD FREQUENCY CONTROL; TRANSIENT STABILITY; SECURITY; IMPACT; VULNERABILITY; ARCHITECTURE; MITIGATION; FRAMEWORK; SCHEME;
D O I
10.1109/ACCESS.2024.3443061
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Power grid digitalization introduces new vulnerabilities and cyber security threats. The impact of cyber attacks on power system stability is a topic of growing concern, which is yet to be comprehensively analyzed. Traditional power system stability analysis is based on the impact of non-malicious small, and large physical disturbances. However, cyber attacks introduce a new dimension to power system stability, in which malicious cyber actors can selectively target critical systems and applications and cause severe stability issues. Hence, in this work, the traditional disturbances considered in power system stability classification are expanded from physical to cyber-physical disturbances caused by cyber attacks. Based on a thorough state-of-the-art, an analysis of how cyber attacks can translate into physical disturbances affecting the traditional power system stability categories is performed. The system stability analysis is expanded by mapping the power system stability categories with the defined cyber-physical attack types. The findings of this work showcase the importance of cyber security for power system stability.
引用
收藏
页码:113008 / 113035
页数:28
相关论文
共 140 条
[1]   A Survey of Cyber-Physical Power System Modeling Methods for Future Energy Systems [J].
Abdelmalak, Michael ;
Venkataramanan, Venkatesh ;
Macwan, Richard .
IEEE ACCESS, 2022, 10 :99875-99896
[2]   WAMS Cyber-Physical Test Bed for Power System, Cybersecurity Study, and Data Mining [J].
Adhikari, Uttam ;
Morris, Thomas ;
Pan, Shengyi .
IEEE TRANSACTIONS ON SMART GRID, 2017, 8 (06) :2744-2753
[3]   A Review of Research Works on Supervised Learning Algorithms for SCADA Intrusion Detection and Classification [J].
Alimi, Oyeniyi Akeem ;
Ouahada, Khmaies ;
Abu-Mahfouz, Adnan M. ;
Rimer, Suvendi ;
Alimi, Kuburat Oyeranti Adefemi .
SUSTAINABILITY, 2021, 13 (17)
[4]   A Review of Machine Learning Approaches to Power System Security and Stability [J].
Alimi, Oyeniyi Akeem ;
Ouahada, Khmaies ;
Abu-Mahfouz, Adnan M. .
IEEE ACCESS, 2020, 8 :113512-113531
[5]   Improved L1 Networked Adaptive Approach to Load Frequency Power Control Under Cyber Attacks [J].
Alyazidi, Nezar M. .
IEEE ACCESS, 2022, 10 :131680-131690
[6]   Secure Sampled-Data Observer-Based Control for Wind Turbine Oscillation Under Cyber Attacks [J].
Amini, Amir ;
Ghafouri, Mohsen ;
Mohammadi, Arash ;
Hou, Ming ;
Asif, Amir ;
Plataniotis, Konstantinos .
IEEE TRANSACTIONS ON SMART GRID, 2022, 13 (04) :3188-3202
[7]   Dynamic Load Altering Attacks Against Power System Stability: Attack Models and Protection Schemes [J].
Amini, Sajjad ;
Pasqualetti, Fabio ;
Mohsenian-Rad, Hamed .
IEEE TRANSACTIONS ON SMART GRID, 2018, 9 (04) :2862-2872
[8]   Machine Learning Techniques Applied to On-Line Voltage Stability Assessment: A Review [J].
Amroune, Mohammed .
ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING, 2021, 28 (02) :273-287
[9]  
[Anonymous], 2019, Standard C95.1-2019, P1
[10]  
[Anonymous], 2013, Standard IEC 61850