TY - JOUR
T1 - Secure state estimation and control for cyber security of the nonlinear power systems
AU - Hu, Qie
AU - Fooladivanda, Dariush
AU - Chang, Young Hwan
AU - Tomlin, Claire J.
N1 - Funding Information:
Manuscript received December 12, 2016; revised March 12, 2017 and April 22, 2017; accepted May 4, 2017. Date of publication May 16, 2017; date of current version September 17, 2018. This work was supported in part by NSF under CPS:ActionWebs (CNS-0931843) and CPS:FORCES (CNS1239166), and in part by ONR under MIT-5710002646 (SMARTS MURI). This paper was presented at the American Control Conferene, Seattle, WA, USA, May 2017. Recommended by Associate Editor L. Shi. (Qie Hu, Dariush Fooladivanda, and Young Hwan Chang contributed equally to this work.) (Corresponding author: Dariush Fooladivanda.) Q. Hu and C. J. Tomlin are with the Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA 94720 USA (e-mail:,qiehu@berkeley.edu; tomlin@berkeley.edu).
Funding Information:
This work was supported in part by NSF under CPS:ActionWebs (CNS-0931843) and CPS:FORCES (CNS1239166), and in part by ONR underMIT-5710002646 (SMARTSMURI)
Publisher Copyright:
© 2014 IEEE.
PY - 2018/9
Y1 - 2018/9
N2 - We focus on securely estimating the state of a nonlinear dynamical system from a set of corrupted measurements for two classes of nonlinear systems, and propose a technique that enables us to perform secure state estimation for those systems. We then illustrate how the proposed nonlinear secure state estimation technique can be used to perform estimation in the cyber layer of interconnected power systems under cyber-physical attacks and communication failures. In particular, we focus on an interconnected power system comprised of several synchronous generators, transmission lines, loads, and energy storage units, and propose a secure estimator that allows us to securely estimate the dynamic states of the power network. Finally, we numerically demonstrate the effectiveness of the proposed secure estimation algorithm, and show that the algorithm enables the cyber layer to accurately reconstruct the attack signals.
AB - We focus on securely estimating the state of a nonlinear dynamical system from a set of corrupted measurements for two classes of nonlinear systems, and propose a technique that enables us to perform secure state estimation for those systems. We then illustrate how the proposed nonlinear secure state estimation technique can be used to perform estimation in the cyber layer of interconnected power systems under cyber-physical attacks and communication failures. In particular, we focus on an interconnected power system comprised of several synchronous generators, transmission lines, loads, and energy storage units, and propose a secure estimator that allows us to securely estimate the dynamic states of the power network. Finally, we numerically demonstrate the effectiveness of the proposed secure estimation algorithm, and show that the algorithm enables the cyber layer to accurately reconstruct the attack signals.
KW - Cyber-physical systems (CPS)
KW - dynamic state estimation
KW - power systems
KW - secure state estimation
UR - http://www.scopus.com/inward/record.url?scp=85053798169&partnerID=8YFLogxK
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U2 - 10.1109/TCNS.2017.2704434
DO - 10.1109/TCNS.2017.2704434
M3 - Article
AN - SCOPUS:85053798169
SN - 2325-5870
VL - 5
SP - 1310
EP - 1321
JO - IEEE Transactions on Control of Network Systems
JF - IEEE Transactions on Control of Network Systems
IS - 3
M1 - 7929374
ER -