@inbook{3b6be7b0d68b4ceb9fa3938273a770b6,
title = "From Physics to Data Oriented Cyber Attack Profile Emulation in Grid Connected PV Systems",
abstract = "Power electronics converters (PECs) require a dense data management process to control and monitor its operation in a grid connected system. This complexity jeopardizes the security and integrity of the data communicated between the physical components of the systems and the control unit. In view of this scenario, this paper models the physics and data-oriented cyber-attack profiles for emulating a false data injection model in control structure of a grid connected converter. The development of the physics-based models is realized through the graph theory approach, and the data-oriented models are developed using game-theoretic approach and generative adversarial networks (GANs). The development of these models is based on the attacker capabilities and possible damage that can be caused to the converter operation because of a cyber-attack. Further, these models are implemented with a grid tied converter and their emulation efficacy is compared.",
keywords = "PV System, Grid connected systems, Grid connected applications, Cybersecurity, Cyber Attacks, Cyber attack profile emulation, Physics-informed techniques, Data driven approach, Artificial Intelligence (AI), Machine Learning, Fault emulation",
author = "Khan, {Mohammed Ali} and Kurukuru, {Varaha Satya Bharath} and Subham Sahoo and Frede Blaabjerg",
year = "2021",
month = dec,
day = "24",
doi = "10.1109/COMPEL52922.2021.9646077",
language = "English",
isbn = "978-1-6654-3636-6",
series = "IEEE Workshop on Control and Modeling for Power Electronics (COMPEL) ",
publisher = "IEEE (Institute of Electrical and Electronics Engineers)",
booktitle = "2021 IEEE 22nd Workshop on Control and Modelling of Power Electronics (COMPEL)",
address = "United States",
note = "2021 IEEE 22nd Workshop on Control and Modeling for Power Electronics, COMPEL 2021 ; Conference date: 02-11-2021 Through 05-11-2021",
}
