@article{d28be5ead4eb4093a093f61b29946fb6,
title = "Stealthy Cyberattacks on Loads and Distributed Generation Aimed at Multi-Transmission Line Congestions in Smart Grids",
abstract = "Developing attack models is the first step to understand cyberattacks in smart grids and develop countermeasures. In this article, a three-level nonlinear programming formulation is proposed for false data injection (FDI) cyberattacks that could result in multiple transmission line congestions without being detected by conventional bad data detection (BDD) algorithms. The model is then converted to a mixed integer linear programming (MILP) formulation to guarantee a global optimum exists. A detection framework based on recursive least-square estimation (RLSE) is developed that can successfully detect the stealthy FDIs. The developed model with the detection framework is validated through various case studies in IEEE 118-bus benchmark.",
author = "Javad Khazaei",
note = "Funding Information: This work was supported in part by the U.S. Department of Defense, Office of Naval Research under Grant N00014- 20-1-2397, and in part by Penn State's Center for Security Research and Education 2020 Homeland Security Grant. Paper no. TSG-00857-2020. Funding Information: Manuscript received June 4, 2020; revised August 31, 2020 and October 31, 2020; accepted November 11, 2020. Date of publication November 16, 2020; date of current version April 21, 2021. This work was supported in part by the U.S. Department of Defense, Office of Naval Research under Grant N00014-20-1-2397, and in part by Penn State{\textquoteright}s Center for Security Research and Education 2020 Homeland Security Grant. Paper no. TSG-00857-2020. Publisher Copyright: {\textcopyright} 2010-2012 IEEE.",
year = "2021",
month = may,
doi = "10.1109/TSG.2020.3038045",
language = "English (US)",
volume = "12",
pages = "2518--2528",
journal = "IEEE Transactions on Smart Grid",
issn = "1949-3053",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "3",
}
