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KHAN, M. KURUKURU, V.
Original Title
Design and modeling approaches to cyberattacks for grid-tied PV systems
Type
book chapter
Language
English
Original Abstract
This chapter provides a detailed understanding of physics- and data-oriented approaches for emulating cyberattack in a grid-connected system through FDI attacks. The physics-oriented tools are developed based on the graph model of the systems control architecture, whereas the data-oriented tools are based on the GT approach and GAN. The design process for all three approaches is carried out on the same system. The physics-oriented tools are identified to have an average FDIA accuracy of 75 to emulate the fault with long training times. Furthermore, the data-oriented approach with game theory has less training accuracy with less training time, and the GANs have the highest training accuracy of 99.4% with a training time of 1 min 36 s for 7 000 iterations. Besides, the GAN-based FDIA is also identified to have a maximum-likelihood ratio while emulating the cyberattack profile.
Keywords
Cyber-attack, False data injection attack, Power electronics converters, Photovoltaic systems
Authors
KHAN, M.; KURUKURU, V.
Released
9. 9. 2022
Publisher
IET
Location
London, England
ISBN
9781839533327
Book
Cyber Security for Microgrids
Edition
Subham Sahoo, Frede Blaabjerg, Tomislav Dragicevic
Edition number
1
Pages from
179
Pages to
201
Pages count
23
URL
https://digital-library.theiet.org/content/books/10.1049/pbpo196e_ch9
BibTex
@inbook{BUT180753, author="V S Bharath {Kurukuru} and Mohammed Ali {Khan}", title="Design and modeling approaches to cyberattacks for grid-tied PV systems", booktitle="Cyber Security for Microgrids", year="2022", publisher="IET", address="London, England", series="Subham Sahoo, Frede Blaabjerg, Tomislav Dragicevic", edition="1", pages="179--201", doi="10.1049/pbpo196e\{_}ch9", isbn="9781839533327", url="https://digital-library.theiet.org/content/books/10.1049/pbpo196e_ch9" }