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Modeling for survivability of Smart Power Grid when subject to severe emergencies and vulnerability

机译:遭受严重紧急情况和脆弱性时智能电网的生存能力建模

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We discuss a model for survivability of Smart Power Grid under severe emergencies and vulnerability. We focus on the smart electric power delivery systems, i.e., electricity transmission and distribution smart grids, along with SCADA and EMS systems. We introduce concepts and results from graph and social network theories, and apply them to the study of the IEEE 118 Bus system. We discuss concept of self-healing grid and intelligent adaptive islanding for IEEE 118 bus system and WSCC-Smart Power Grid Network-SCADA-EMS (WSSE) System. We also calculate values of the topological characteristics of the networks and compare their error and attack tolerances, i.e., their performance when vertices are removed, randomly or in a malicious way. Also, we study survivability of IEEE 118 bus considering network islanding scheme under random and targeted attacks. The IEEE 118 network islanding scheme was found to be more survivable under different attacks.
机译:我们讨论了在严重紧急情况和脆弱性下智能电网的生存能力模型。我们专注于智能电力输送系统,即输配电智能电网以及SCADA和EMS系统。我们介绍了图形和社交网络理论的概念和结果,并将其应用于IEEE 118总线系统的研究。我们讨论了IEEE 118总线系统和WSCC-智能电网-SCADA-EMS(WSSE)系统的自愈网格和智能自适应孤岛的概念。我们还计算网络拓扑特征的值,并比较其错误和攻击容忍度,即随机或以恶意方式删除顶点时的性能。此外,我们还研究了在随机和有针对性的攻击下考虑网络孤岛方案的IEEE 118总线的生存能力。发现IEEE 118网络孤岛方案在不同的攻击下更具生存力。

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