A Review of Cyber-Physical Security for Photovoltaic Systems

被引:84
作者
Ye, Jin [1 ]
Giani, Annarita [2 ]
Elasser, Ahmed [2 ]
Mazumder, Sudip K. [3 ]
Farnell, Chris [4 ]
Mantooth, Homer Alan [4 ]
Kim, Taesic [5 ]
Liu, Jianzhe [6 ]
Chen, Bo [6 ]
Seo, Gab-Su [7 ]
Song, Wenzhan [8 ]
Greidanus, Mateo D. Roig [3 ]
Sahoo, Subham [9 ]
Blaabjerg, Frede [9 ]
Zhang, Jinan [1 ]
Guo, Lulu [10 ,11 ]
Ahn, Bohyun [5 ]
Shadmand, Mohammad B. [3 ]
Gajanur, Nanditha R. [3 ]
Abbaszada, Mohammad Ali [3 ]
机构
[1] Univ Georgia, Intelligent Power Elect & Elect Machine Lab, Athens, GA 30602 USA
[2] Gen Elect Res Ctr, Niskayuna, NY 12309 USA
[3] Univ Illinois, Elect & Comp Engn Dept, Chicago, IL 60607 USA
[4] Univ Arkansas, Dept Elect Engn, Fayetteville, AR 72701 USA
[5] Texas A&M Univ Kingsville, Dept Elect Engn & Comp Sci, Kingsville, TX 78363 USA
[6] Argonne Natl Lab, Energy Syst Div, Lemont, IL 60439 USA
[7] Natl Renewable Energy Lab, Power Syst Engn Ctr, Golden, CO 80401 USA
[8] Univ Georgia, Ctr Cyber Phys Syst, Athens, GA 30602 USA
[9] Aalborg Univ, Dept Energy Technol, DK-9220 Aalborg, Denmark
[10] Tongji Univ, Dept Control Sci & Engn, Shanghai 200092, Peoples R China
[11] Tongji Univ, Shanghai Res Inst Intelligent Autonomous Syst, Shanghai 200092, Peoples R China
关键词
Inverters; Power electronics; Smart grids; Microgrids; Computer security; Monitoring; Reliability; Cybersecurity assessment; cyber-physical security; detection and mitigation; firmware and network security; photovoltaic (PV) converter; INTERVAL STATE ESTIMATION; DATA INJECTION ATTACKS; SOLAR PV; RELIABILITY ASSESSMENT; RISK-ASSESSMENT; POWER-SYSTEM; SMART GRIDS; BAD DATA; IDENTIFICATION; CYBERSECURITY;
D O I
10.1109/JESTPE.2021.3111728
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In this article, the challenges and a future vision of the cyber-physical security of photovoltaic (PV) systems are discussed from a firmware, network, PV converter controls, and grid security perspective. The vulnerabilities of PV systems are investigated under a variety of cyberattacks, ranging from data integrity attacks to software-based attacks. A success rate metric is designed to evaluate the impact and facilitate decision-making. Model-based and data-driven methods for threat detection and mitigation are summarized. In addition, the blockchain technology that addresses cyberattacks in software and cybernetworks is described. Simulation and experimental results that show the impact of cyberattacks at the converter (device) and grid (system) levels are presented. Finally, potential research opportunities are discussed for next-generation, cybersecure power electronics systems. These opportunities include multiscale controllability, self-/event-triggering control, artificial intelligence/machine learning, hot patching, and online security. As of today, this study will be one of the few comprehensive studies in this emerging and fast-growing area.
引用
收藏
页码:4879 / 4901
页数:23
相关论文
共 145 条
[1]   Towards Intelligent Power Electronics-Dominated Grid via Machine Learning Techniques [J].
Abu-Rub, Omar H. ;
Fard, Amin Y. ;
Umar, Muhammad Farooq ;
Hosseinzadehtaher, Mohsen ;
Shadmands, Mohammad B. .
IEEE POWER ELECTRONICS MAGAZINE, 2021, 8 (01) :28-38
[2]  
Ahn B., 2021, PROC IEEE ENERGY CON
[3]   A Novel Approach for Ramp-Rate Control of Solar PV Using Energy Storage to Mitigate Output Fluctuations Caused by Cloud Passing [J].
Alam, M. J. E. ;
Muttaqi, K. M. ;
Sutanto, D. .
IEEE TRANSACTIONS ON ENERGY CONVERSION, 2014, 29 (02) :507-518
[4]   Confidentiality, integrity and availability – finding a balanced IT framework [J].
Aminzade, Michael .
Network Security, 2018, 2018 (05) :9-11
[5]  
[Anonymous], 2019, SOLAR ACCOUNTS 40 US
[6]  
[Anonymous], SURICATA
[7]  
[Anonymous], ATT CK IND CONTROL S
[8]  
[Anonymous], How to Protect Your Solar Panels from Thieves?
[9]  
[Anonymous], ITS EARLY DAYS INTER
[10]  
[Anonymous], 2017, ALERT AA20 352A