A Risk Assessment Framework for Cyber-Physical Security in Distribution Grids with Grid-Edge DERs

被引:3
|
作者
Gao, Xue [1 ]
Ali, Mazhar [1 ]
Sun, Wei [1 ]
机构
[1] Univ Cent Florida, Dept Elect & Comp Engn, Orlando, FL 32816 USA
关键词
cyberattack; cyberphysical system; cybersecurity; grid-edge; inverter-based DER; risk assessment; virtual oscillator controller (VOC); ENERGY-RESOURCES; FREQUENCY CONTROL; SYSTEM; CYBERSECURITY; ATTACKS; STATE;
D O I
10.3390/en17071587
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Integration of inverter-based distributed energy resources (DERs) is reshaping the landscape of distribution grids to fulfill the socioeconomic, environmental, and sustainability goals. Addressing the technological challenges of DER grid integration requires an adaptive communication layer for efficient DER management and control. This transition has given rise to a cyberphysical system (CPS) architecture within the distribution system, causing new vulnerabilities for cyberphysical attacks. To better address potential threats, this paper presents a comprehensive risk assessment framework for cyberphysical security in distribution grids with grid-edge DERs. The framework incorporates a detailed CPS model accounting for dynamic DER characteristics within the distribution grid. It identifies vulnerabilities in DER communication systems, models attack scenarios, and addresses communication latency crucial for inverter control timescales. Subsequently, the quantification of attack impacts employs an attack probability model including both the vulnerability and criticality of cyber components. The proposed risk assessment framework was validated through testing on the modified IEEE 13-node and 123-node test feeders.
引用
收藏
页数:24
相关论文
共 50 条
  • [41] Risk assessment of smart grids under cyber-physical attacks using Bayesian networks
    AlMajali, Anas
    Wadhawan, Yatin
    Saadeh, Mahmood S.
    Shalalfeh, Laith
    Neuman, Clifford
    INTERNATIONAL JOURNAL OF ELECTRONIC SECURITY AND DIGITAL FORENSICS, 2020, 12 (04) : 357 - 385
  • [42] A Smart Digital Twin Enabled Security Framework for Vehicle-to-Grid Cyber-Physical Systems
    Ali, Mansoor
    Kaddoum, Georges
    Li, Wen-Tai
    Yuen, Chau
    Tariq, Muhammad
    Poor, H. Vincent
    IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2023, 18 : 5258 - 5271
  • [43] Special Section on Cyber-Physical Systems and Security for Smart Grid
    Gharavi, Hamid
    Chen, Hsiao-Hwa
    Wietfeld, Christian
    IEEE TRANSACTIONS ON SMART GRID, 2015, 6 (05) : 2405 - 2408
  • [44] A New Classification of Attacks against the Cyber-Physical Security of Smart Grids
    Elbez, Ghada
    Keller, Hubert B.
    Hagenmeyer, Veit
    13TH INTERNATIONAL CONFERENCE ON AVAILABILITY, RELIABILITY AND SECURITY (ARES 2018), 2019,
  • [45] Cyber-Physical Operation Security with a Collaborative Knowledge Grid System
    Das, Asesh
    Reddy, Ramana
    Wang, Luyi
    Reddy, Sumitra
    2012 PROCEEDINGS OF IEEE SOUTHEASTCON, 2012,
  • [46] A survey on policies, modelling and security of cyber-physical systems in smart grids
    Wang, Qin
    Zhang, Guangyuan
    Wen, Fushuan
    Energy Conversion and Economics, 2021, 2 (04): : 197 - 211
  • [47] An Intelligent Edge-Cloud Collaborative Framework for Communication Security in Distributed Cyber-Physical Systems
    Chen, Cen
    Li, Yangfan
    Wang, Qinyu
    Yang, Xulei
    Wang, Xiaokang
    Yang, Laurence T.
    IEEE NETWORK, 2024, 38 (01): : 172 - 179
  • [48] A Review of Cyber-Physical Energy System Security Assessment
    Rasmussen, Theis B.
    Yang, Guangya
    Nielsen, Arne H.
    Dong, Zhaoyang
    2017 IEEE MANCHESTER POWERTECH, 2017,
  • [49] Cyber-Physical Security Assessment and Resilience of a Microgrid Testbed
    Ahmed-Zaid, Said
    Loo, Sin Ming
    Valdepena-Delgado, Andres
    Beam, Theron
    2021 RESILIENCE WEEK (RWS), 2021,
  • [50] An Assessment of Security Analysis Tools for Cyber-Physical Systems
    Lemaire, Laurens
    Vossaert, Jan
    De Decker, Bart
    Naessens, Vincent
    RISK ASSESSMENT AND RISK-DRIVEN QUALITY ASSURANCE, RISK 2016, 2017, 10224 : 66 - 81