A Review of Cyber–Physical Security for Photovoltaic Systems

Autor: Taesic Kim, Jin Ye, Mohammad Ali Abbaszada, Wen-Zhan Song, Annarita Giani, Homer Alan Mantooth, Bohyun Ahn, Jianzhe Liu, Bo Chen, Gab-Su Seo, Mohammad B. Shadmand, Sudip K. Mazumder, Jinan Zhang, Chris Farnell, Ahmed Elasser, Subham Sahoo, Frede Blaabjerg, Lulu Guo, Mateo D. Roig Greidanus, Nanditha Gajanur
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Ye, J, Giani, A, Elasser, A, Mazumder, S K, Farnell, C, Mantooth, H A, Kim, T, Liu, J, Chen, B, Seo, G-S, Song, W, Roig Greidanus, M D, Sahoo, S, Blaabjerg, F, Zhang, J, Guo, L, Ahn, B, Shadmand, M B, Gajanur, N R & Abbaszada, M A 2022, ' A Review of Cyber–Physical Security for Photovoltaic Systems ', IEEE Journal of Emerging and Selected Topics in Power Electronics, vol. 10, no. 4, 9534741, pp. 4879-4901 . https://doi.org/10.1109/JESTPE.2021.3111728
Popis: In this paper, 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 cyber-attacks, 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 cyber-attacks in software and cyber networks is described. Simulation and experimental results that show the impact of cyber-attacks at the converter (device) and grid (system) levels are presented. Finally, potential research opportunities are discussed for next-generation, cyber-secure power electronics systems. These opportunities include multi-scale 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.
Databáze: OpenAIRE