Cyber-Physical Power System Layers: Classification, Characterization, and Interactions

Cyber-Physical Power System Layers: Classification, Characterization, and Interactions
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DOI:
10.1109/tpec56611.2023.10078602
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发表时间:
2023-02
期刊:
2023 IEEE Texas Power and Energy Conference (TPEC)
影响因子:
--
通讯作者:
Michael Abdelmalak;N. Bhusal;Mukesh Gautam;Mohammed Ben-Idris
Michael Abdelmalak;N. Bhusal;Mukesh Gautam;Mohammed Ben-Idris
中科院分区:
其他
文献类型:
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作者:
Michael Abdelmalak;N. Bhusal;Mukesh Gautam;Mohammed Ben-Idris

文献摘要

相似文献

本文提供了一种识别网络物理电力系统(CPPS)层和子层的策略,并描述了它们的相互作用和内部作用。物理层通常由电网和保护设备组成,而网络层则由通信、计算和控制组件组成。将网络层的组件组合在一个层中,由于每个组件具有不同的失效模式,使得内部动作建模过程变得复杂。另一方面,将网络层划分为大量的子层可能会不必要地增加系统状态的数量,增加计算负担。本文根据系统层的公共功能、耦合功能和共享功能对系统层进行分类。此外,分类层之间的相互作用根据它们对系统的影响进行识别、表征和聚类。此外,根据每一层的整体功能及其组成部分的类型,表征了层内的相互作用。本文开发的系统层综合分类策略及其相互作用和内部作用的表征有助于实现CPPS中状态转移、故障和攻击传播的准确和详细建模,可用于各种可靠性评估研究。
This paper provides a strategy to identify layers and sub-layers of cyber-physical power systems (CPPS) and characterize their inter- and intra-actions. The physical layer usually consists of the power grid and protection devices whereas the cyber layer consists of communication, and computation and control components. Combining components of the cyber layer in one layer complicates the process of modeling intra-actions because each component has different failure modes. On the other hand, dividing the cyber layers into a large number of sub-layers may unnecessarily increase the number of system states and increase the computational burden. In this paper, we classify system layers based on their common, coupled, and shared functions. Also, interactions between the classified layers are identified, characterized, and clustered based on their impact on the system. Furthermore, based on the overall function of each layer and types of its components, intra-actions within layers are characterized. The strategies developed in this paper for comprehensive classification of system layers and characterization of their inter- and intra-actions contribute toward the goal of accurate and detailed modeling of state transition and failure and attack propagation in CPPS, which can be used for various reliability assessment studies.