Observer-based Detection and Reconstruction of Dynamic Load Altering Attack in Smart Grid

2021 
Abstract This paper mainly focuses on the problems of attack detection and reconstruction of cyber physical systems (CPS) under dynamic load altering attacks (D-LAA). Taking the smart grid as an example, firstly, the power system subjected to the attack is modeled as a power CPS through system characteristics to provide conditions for attack detection. On this basis, we assume that two vulnerable loads are attacked simultaneously to investigate the impact of the attack on the system. Secondly, a robust sliding mode observer is designed to implement attack reconstruction with the residual signal generated by the observer. After that, an attack detection logic is applied to complete the attack detection by comparing the threshold with the residual. Finally, a three generators and six buses power system is given as an example to verify the feasibility of attack detection and reconstruction by using the real-time simulation platform built by StarSim and MT respectively. The simulation results are given in this paper.
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