Mitigation of Frequency and Voltage Disruptions in Smart Grid During Cyber-Attack

被引：1
|
作者：
M. A. Rahman
M. S. Rana
H. R. Pota
机构：
[1] Rajshahi University of Engineering and Technology,Department of Electrical and Electronic Engineering
[2] University of New South Wales,School of Engineering and Information Technology
来源：
Journal of Control, Automation and Electrical Systems | 2020年 / 31卷
关键词：
Smart grid; Cyber-attack; Automatic generation control (AGC); Automatic voltage regulator (AVR); Vulnerable parameters;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
In this paper, impacts of cyber-attack on proportional integral derivative controlled automatic generation control unit and automatic voltage regulator have been analyzed individually. A controlled switching unit has been proposed for ensuring frequency stability during an attack. Also, another controlled switching unit, designed for automatic voltage regulator, has been proposed for mitigating voltage disruption during a cyber-attack. The protective model proposed in this paper offers combined protection for frequency and voltage disruptions in a power system during cyber-attack.
引用
下载
收藏
页码：412 / 421
页数：9
相关论文
共 50 条
  • [21] Frequency Cyber-Attack Detection for Droop-Controlled Grid-Forming Inverters
    Intriago, Gabriel
    Intriago, Raul
    Zhang, Yu
    2023 IEEE POWER & ENERGY SOCIETY GENERAL MEETING, PESGM, 2023,
  • [22] Frequency Cyber-Attack Detection for Droop-Controlled Grid-Forming Inverters
    Intriago, Gabriel
    Intriago, Raul
    Zhang, Yu
    IEEE Power and Energy Society General Meeting, 2023, 2023-July
  • [23] A hybrid deep learning model for discrimination of physical disturbance and cyber-attack detection in smart grid
    Bitirgen, Kubra
    Filik, Ummuhan Basaran
    INTERNATIONAL JOURNAL OF CRITICAL INFRASTRUCTURE PROTECTION, 2023, 40
  • [24] Salp Swarm-Artificial Neural Network Based Cyber-Attack Detection in Smart Grid
    Sultana, Arifa
    Bardalai, Aroop
    Sarma, Kandarpa Kumar
    NEURAL PROCESSING LETTERS, 2022, 54 (04) : 2861 - 2883
  • [25] A Review on the Evaluation of Feature Selection Using Machine Learning for Cyber-Attack Detection in Smart Grid
    Mohammed, Saad Hammood
    Al-Jumaily, Abdulmajeed
    Singh, Mandeep S. Jit
    Jimenez, Victor P. Gil
    Jaber, Aqeel S.
    Hussein, Yaseein Soubhi
    Al-Najjar, Mudhar Mustafa Abdul Kader
    Al-Jumeily, Dhiya
    IEEE ACCESS, 2024, 12 : 44023 - 44042
  • [26] Salp Swarm-Artificial Neural Network Based Cyber-Attack Detection in Smart Grid
    Arifa Sultana
    Aroop Bardalai
    Kandarpa Kumar Sarma
    Neural Processing Letters, 2022, 54 : 2861 - 2883
  • [27] Enabling Cyber-attack Mitigation Techniques in a Software Defined Network
    Pasias, Achilleas
    Kotsiopoulos, Thanasis
    Lazaridis, Georgios
    Drosou, Anastasios
    Tzovaras, Dimitrios
    Sarigiannidis, Panagiotis
    PROCEEDINGS OF THE 2021 IEEE INTERNATIONAL CONFERENCE ON CYBER SECURITY AND RESILIENCE (IEEE CSR), 2021, : 497 - 502
  • [28] Impact of cyber-attack on coordinated voltage control in low voltage grids
    Farooq, Asma
    Shahid, Kamal
    Gui, Yonghao
    Olsen, Rasmus Lovenstein
    IET RENEWABLE POWER GENERATION, 2023, 17 (11) : 2887 - 2894
  • [29] Cyber Attack on Smart Grid Database
    Monemi, Sean
    Aparicio, Aaron
    Zarour, Andrew
    2024 IEEE CONFERENCE ON TECHNOLOGIES FOR SUSTAINABILITY, SUSTECH, 2024, : 164 - 168
  • [30] On specification-based cyber-attack detection in smart grids
    Sen Ö.
    van der Velde D.
    Lühman M.
    Sprünken F.
    Hacker I.
    Ulbig A.
    Andres M.
    Henze M.
    Energy Informatics, 2022, 5 (Suppl 1)
12345