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Nonzero-Dynamics Stealthy Attack and Its Impacts Analysis in DC Microgrids

机译:直流微电网中的非零动力隐身攻击及其影响分析

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In this paper, we explore the potential stealthy attacks in the DC microgrid (DCmG) equipped with unknown input observer (UIO) based detectors, which are widely adopted for the detection and identification of cyber-attacks. We first prove that once the attacker knows the bounds of the initial state estimation error and the measurement noise, he/she can launch the nonzero-dynamics stealthy (NDS) attack in the DCmG, which can affect the detection residual while keep stealthy. Considering the complexity of the multi-layer control framework in the DCmG, we simplify the primary control loops as static unit gains and obtain the systematic dynamic model of the DCmG under the NDS attack. Then, we obtain the analytical expressions of the Point of Common Coupling (PCC) voltages, which are utilized to analyze the effects of the NDS attack on voltage balancing and current sharing, respectively. Moreover, we prove that under the NDS attack, the voltage and current convergence can still be achieved exponentially in the DCmG. Finally, extensive simulations are conducted in Simulink/PLECS to validate our theoretical results.
机译:在本文中,我们探讨了配备有基于未知输入观察器(UIO)的检测器的DC微电网(DCmG)中潜在的隐形攻击,该检测器被广泛用于检测和识别网络攻击。我们首先证明,一旦攻击者知道了初始状态估计误差和测量噪声的界限,他/她就可以在DCmG中发起非零动态隐身(NDS)攻击,这可以影响检测残留量,同时保持隐身性。考虑到DCmG中多层控制框架的复杂性,我们将主要控制回路简化为静态单位增益,并获得了NDS攻击下DCmG的系统动态模型。然后,我们获得了公共耦合点(PCC)电压的解析表达式,分别用于分析NDS攻击对电压平衡和电流共享的影响。此外,我们证明了在NDS攻击下,DCmG中电压和电流的收敛仍然可以实现指数级。最后,在Simulink / PLECS中进行了广泛的仿真,以验证我们的理论结果。

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