Arman Sargolzaei¹, Kang K. Yen¹, Mohamed N. Abdelghani², Abolfazl Mehbodniya³, Saman Sargolzaei⁴

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¹ Department of Electrical and Computer Engineering, Florida International University, Miami, FL, USA.
² Department of Mathematics and Statistics, University of Alberta, Edmonton, Canada.
³ Graduate School of Engineering-Sendai, Tohoku University, Sendai, Japan.
⁴ Department of Electrical and Computer Engineering, Wentworth Institute of Technology, Boston, MA, USA.
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Abstract: In this paper, we focus on the estimation of time delays caused by adversaries in the sensing loop (SL). Based on the literature review, time delay switch (TDS) attacks could make any control system, in particular a power control system, unstable. Therefore, future smart grids will have to use advanced methods to provide better situational awareness of power grid states keeping smart grids reliable and safe from TDS attacks. Here, we introduce a simple method for preventing time delay switch attack on networked control systems. The method relies on an estimator that will estimate and track time delays introduced by an adversary. Knowing the maximum tolerable time delay of the plant’s optimal controller for which the plant remains stable, a time-delay detector issues an alarm signal when the estimated time delay is larger than the minimum one and directs the system to alarm state. In an alarm state, the plant operates under the control of an emergency controller that is local to the plant and remains in this mode until the networked control system state is restored. This method is an inexpensive and simple way to guarantee that an industrial control system remains stable and secure.

Keywords: Time Delay Switch Attack, Load Frequency Control, Detection and Estimation, Emergency Controller

Cite this paper: Sargolzaei, A. , Yen, K. , Abdelghani, M. , Mehbodniya, A. and Sargolzaei, S. (2015) A Novel Technique for Detection of Time Delay Switch Attack on Load Frequency Control. Intelligent Control and Automation, 6, 205-214. doi: 10.4236/ica.2015.64020.

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