TY - JOUR
T1 - A Review of Cyber–Physical Security for Photovoltaic Systems
AU - Ye, Jin
AU - Giani, Annarita
AU - Elasser, Ahmed
AU - Mazumder, Sudip K.
AU - Farnell, Chris
AU - Mantooth, Homer Alan
AU - Kim, Taesic
AU - Liu, Jianzhe
AU - Chen, Bo
AU - Seo, Gab-Su
AU - Song, Wenzhan
AU - Roig Greidanus, Mateo D.
AU - Sahoo, Subham
AU - Blaabjerg, Frede
AU - Zhang, Jinan
AU - Guo, Lulu
AU - Ahn, Bohyun
AU - Shadmand, Mohammad B.
AU - Gajanur, Nanditha R.
AU - Abbaszada, Mohammad Ali
N1 - Publisher Copyright:
IEEE
PY - 2022/8
Y1 - 2022/8
N2 - 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.
AB - 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.
KW - Computer security
KW - cybersecurity assessment
KW - Cyber-physical security
KW - detection and mitigation
KW - firmware and network security
KW - Inverters
KW - Microgrids
KW - Monitoring
KW - Power electronics
KW - photovoltaic (PV) converter
KW - Reliability
KW - Smart grids
UR - http://www.scopus.com/inward/record.url?scp=85114740023&partnerID=8YFLogxK
U2 - 10.1109/JESTPE.2021.3111728
DO - 10.1109/JESTPE.2021.3111728
M3 - Journal article
AN - SCOPUS:85114740023
SN - 2168-6777
VL - 10
SP - 4879
EP - 4901
JO - IEEE Journal of Emerging and Selected Topics in Power Electronics
JF - IEEE Journal of Emerging and Selected Topics in Power Electronics
IS - 4
M1 - 9534741
ER -