On event-triggered control of linear systems under periodic denial-of-service jamming attacks. Detection of false-data injection attacks in cyber-physical DC microgrids. IEEE Trans Automat Contr, 2007, 52: 1314–1319īeg O A, Johnson T T, Davoudi A. Design of networked control systems with packet dropouts. Denial of service attacks on network-based control systems: impact and mitigation. Consensus-based secondary frequency control under denial-of-service attacks of distributed generations for microgrids. The small-signal stability analysis of the droop-controlled converter in electromagnetic timescale. Modeling and formulation of delayed cyber-physical power system for small-signal stability analysis and control. In: Proceedings of IEEE GlobeCom Workshops (GC Wkshps), Washington, 2016. On the impact of wireless jamming on the distributed secondary microgrid control. IEEE Trans Syst Man Cybern Syst, 2019, 49: 1698–1711ĭanzi P, Stefanovic C, Meng L, et al. ADMM-based distributed state estimation of smart grid under data deception and denial of service attacks. A multiagent-based consensus algorithm for distributed coordinated control of distributed generators in the energy internet. In: Proceedings of IEEE 12th International Conference on Compatibility, Power Electronics and Power Engineering, Doha, 2018. Kashem S B A, de Souza S, Iqbal A, et al. In addition, the proposed adaptive secondary control system is significantly better than the traditional control system in terms of the stability performance of the microgrid under a DoS attack. The simulation results show that although the microgrid with high secondary control gain has good dynamic robustness, its TST is low. A mitigation adaptive secondary control technique is proposed so that the attacked microgrid can dynamically tune the secondary control gain according to the saving time and tolerant saving time (TST). Based on the root approximation method, the tolerant saving time is designed for the microgrid as the index to evaluate the tolerance margin of the time-constrained DoS attack, and then the relationship between the margin and secondary control coefficients is found. In this way, the cross-layer impact on the microgrid from the cyber system to the physical system can be convincingly analyzed. Leveraging the small-signal model, this paper develops a novel cyber-physical system model to analyze the cross-layer effect of DoS attacks on microgrids. With the close integration of cyber and power systems, the consensus-based secondary frequency control in a microgrid is increasingly vulnerable to communication failures such as transmission delays and denial-of-service (DoS) attacks, which can affect the efficiency of frequency recovery in the secondary frequency control.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |