论文标题
电网中的级联故障
Cascading Failures in Power Grids
论文作者
论文摘要
本文研究了针对国家电力系统的针对性攻击的后果。我们考虑两种攻击:($ i $)对手使用战术武器的攻击,通过物理瞄准大地理区域,破坏了大部分网格; ($ ii $)对手的有针对性攻击,该攻击同时消除了网络中的少量关键组件。我们的分析使用($ i $)是基础功率网格的现实表示,包括拓扑,控制和保护组件,($ ii $)对目标攻击方案的现实表示,以及($ iii $)的动态稳定性分析,远远超出了传统的结构和线性流量分析的传统工作。这种现实的分析很昂贵,但至关重要,因为它可以捕获由于攻击引起的瞬态不稳定性造成的级联故障。我们的模型承认在保护系统中存在隐藏的故障,导致继电器疏忽。我们分析了不同级别的隐藏故障的级联停电程度。我们的结果表明:($ i $)电网容易受到这两种攻击的攻击,($ ii $)战术攻击具有重大的社会,经济和健康损失,但不必导致区域级联;相反,有针对性的攻击可能会导致大量的级联反应,并导致大型地区的停电。我们的工作表明,不仅要使电网不仅要使网络攻击,而且还要攻击物理攻击的必要性。此外,我们表明,现实的表示和分析可以从根本上产生新的见解,而简化模型不太可能捕获。最后,方法和结果有助于我们确定网格中的关键要素。然后可以更精确地将系统硬化以减少漏洞。
This paper studies the consequences of a human-initiated targeted attack on the national electric power system. We consider two kinds of attacks: ($i$) an attack by an adversary that uses a tactical weapon and destroys a large part of the grid, by physically targeting a large geographic region; ($ii$) a targeted attack by an adversary that takes out a small number of critical components in the network simultaneously. Our analysis uses ($i$) a realistic representation of the underlying power grid, including the topology, the control and protection components, ($ii$) a realistic representation of the targeted attack scenario, and ($iii$) a dynamic stability analysis, that goes beyond traditional work comprising structural and linear flow analysis. Such realistic analysis is expensive, but critical since it can capture cascading failures that result from transient instabilities introduced due to the attack. Our model acknowledges the presence of hidden failures in the protection systems resulting in relay misoperations. We analyze the extent of cascading outages for different levels of hidden failures. Our results show that: ($i$) the power grid is vulnerable to both these attacks, ($ii$) the tactical attack has significant social, economic and health damage but need not result in a regional cascade; on the contrary the targeted attack can cause significant cascade and lead to power outage over a large region. Our work shows the necessity to harden the power grid not just to cyber-attacks but also to physical attacks. Furthermore, we show that realistic representations and analysis can lead to fundamentally new insights that simplified models are unlikely to capture. Finally, the methods and results help us identify critical elements in the grid; the system can then be hardened in a more precise manner to reduce the vulnerabilities.