Abstract
This paper presents a new algebraic approach for robust meter placement against false data injection (FDI) attacks on power system state estimation with DC power flow models. One of the most promising strategies against FDI attacks on DC state estimation is to protect measurements. It is important to select a subset of measurements to be protected so that, even if any k measurements are compromised by attackers or are lost due to malfunction, we can detect FDI attacks with the rest of them. Protecting a set of essential measurements to ensure observability of the system is reportedly a necessary and sufficient condition for detecting the FDI attacks on DC state estimation. Castillo et al. have proposed an algebraic approach to determine the minimum required measurement set to ensure observability even if any k meters fail. However, their problem formulation is nonlinear and they showed the results only with k ≤ 2. In this paper, we propose a new linear formulation and show the results with not only k = 2 but also k = 3.
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References
Liu, Y., Ning, P., Reiter, M.K.: False data injection attacks against state estimation in electric power grids. In: Proc. 16th ACM Conf. on Computer and Communications Security, pp. 21–32 (November 2009)
Bobba, R.B., Rogers, K.M., Wang, Q., Khurana, H., Nahrstedt, K., Overbye, T.J.: Detecting false data injection attacks on dc state estimation. In: Proc. First Workshop on Secure Control Systems (April 2010)
Castillo, E., Conejo, A.J., Pruneda, R.E., Solares, C., Menéderz, J.M.: m − k robust observability in state estimation. IEEE Trans. on Power Systems 23(2), 296–305 (2008)
Magnago, F.H., Abur, A.: A unified approach to robust meter placement against loss of measurements and branch outages. IEEE Trans. on Power Systems 15(3), 945–949 (2000)
CONOPT, http://www.conopt.com/
MATLAB, http://www.mathworks.com/
Gurobi Optimizer, http://www.gurobi.com/
Zimmerman, R.D., Murillo-Sánchez, C.E., Thomas, R.J.: Matpower: Steady-state operations, planning, and analysis tools for power systems research and education. IEEE Trans. on Power Systems 26(1), 12–19 (2011)
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Watanabe, I., Masutomi, K., Ono, I. (2013). Robust Meter Placement against False Data Injection Attacks on Power System State Estimation. In: Lee, M., Hirose, A., Hou, ZG., Kil, R.M. (eds) Neural Information Processing. ICONIP 2013. Lecture Notes in Computer Science, vol 8226. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-42054-2_71
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DOI: https://doi.org/10.1007/978-3-642-42054-2_71
Publisher Name: Springer, Berlin, Heidelberg
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