Sparse Attack Construction and State Estimation in the Smart Grid: Centralized and Distributed Models

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Date

2013-07-01

Author

Ozay, Mete
Esnaola, Inaki
Yarman Vural, Fatoş Tunay
Kulkarni, Sanjeev R.
Poor, H. Vincent

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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New methods that exploit sparse structures arising in smart grid networks are proposed for the state estimation problem when data injection attacks are present. First, construction strategies for unobservable sparse data injection attacks on power grids are proposed for an attacker with access to all network information and nodes. Specifically, novel formulations for the optimization problem that provide a flexible design of the trade-off between performance and false alarm are proposed. In addition, the centralized case is extended to a distributed framework for both the estimation and attack problems. Different distributed scenarios are proposed depending on assumptions that lead to the spreading of the resources, network nodes and players. Consequently, for each of the presented frameworks a corresponding optimization problem is introduced jointly with an algorithm to solve it. The validity of the presented procedures in real settings is studied through extensive simulations in the IEEE test systems.

Subject Keywords

Computer Networks and Communications, Electrical and Electronic Engineering

URI

https://hdl.handle.net/11511/39213

Journal

IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS

DOI

https://doi.org/10.1109/jsac.2013.130713

Collections

Department of Computer Engineering, Article

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Citation Formats

M. Ozay, I. Esnaola, F. T. Yarman Vural, S. R. Kulkarni, and H. V. Poor, “Sparse Attack Construction and State Estimation in the Smart Grid: Centralized and Distributed Models,” IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, pp. 1306–1318, 2013, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/39213.