期刊
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
卷 65, 期 9, 页码 3919-3926出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TAC.2020.2981915
关键词
Switches; Generators; Frequency measurement; Frequency control; Sun; Power grids; Convex relaxation; location-switching attacks; mixed integer; partial feedback; switching condition
资金
- Shanghai Super Postdoctoral Funding Program
- National Natural Science Foundation of China (NSFC) [U19A2069]
- National Science Foundation [1711471, 1901134]
- NSFC [61720106011, 61925303]
- NSFC-Zhejiang Joint Fund for the Integration of Industrialization and Informatization [U1509215]
- Direct For Computer & Info Scie & Enginr
- Division of Computing and Communication Foundations [1901134] Funding Source: National Science Foundation
This article considers false data injection attacks constructed based on partial feedback of generator frequencies in a cyber-physical power system. The goal of the attacker is to destabilize the system, by compromising a subset of frequency control signals with false data injection, without consuming much energy. In this context, two attack design problems are studied, considering both location-fixed attacks and location-switching attacks based on measurable generator bus frequencies. They are further modeled as switched control problems, for which closed-form solutions can be attained. Leveraging the maximum principle, the diagonal partial feedback matrix is optimized by solving a convex optimization problem. The convexified switching variables describing the switching behavior are solved in a quadratic optimization problem and a fractional optimization problem, respectively. As a result, optimal switching conditions to select the best attack locations are obtained, along with optimal partial feedback attack matrices. Case studies on the IEEE 9-bus test system validate the practical merits of theory and numerical effectiveness of the proposed attack schemes.
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