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Cascading failures and transient stability experiment analysis in power grid security

机译:电网安全中的级联故障和暂态稳定实验分析

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The modern electric power grid is one of the most complex networks, and its highly interconnected nature increases vulnerability when transmitting power vast distances from generation to consumption. For instance, during power grid contingencies (e.g., cyber/physical attacks on transmission lines or generators), this interconnection nature accelerates the propagation of failures throughout the system, and causes cascading failure blackouts. Thus, finding the most vulnerable components (e.g., buses or generators) is important for power grid defense. In this paper, a new definition of load has been proposed by taking power flow into consideration. The self organizing map (SOM) based approach is proposed to cluster the nodes (i.e., buses) in IEEE 39-bus benchmark. The most vulnerable node in each cluster is determined based on its load information to form an initial “victim set”. We use percentage of failure (PoF) to compare the performance of proposed SOM-based approach and the traditional load based approach during cascading failure process. In addition, the transient stability of the power system is further studied using both approaches. Our results show that the SOM based approach of victim selection is more efficient than traditional load based strategy.
机译:现代电网是最复杂的网络之一,其高度互连的特性在从发电到消耗的距离很远的情况下传输电力时,增加了脆弱性。例如,在电网突发事件期间(例如,对传输线或发电机的网络/物理攻击),这种互连特性加速了故障在整个系统中的传播,并导致级联的故障停电。因此,找到最脆弱的组件(例如,总线或发电机)对于电网防御很重要。在本文中,通过考虑潮流,提出了一种新的负载定义。提出了一种基于自组织映射(SOM)的方法,以在IEEE 39总线基准测试中对节点(即总线)进行聚类。根据群集的负载信息确定每个群集中最易受攻击的节点,以形成初始“受害者集”。在级联故障过程中,我们使用故障百分比(PoF)来比较建议的基于SOM的方法和传统的基于负载的方法的性能。此外,还使用这两种方法进一步研究了电力系统的暂态稳定性。我们的结果表明,基于SOM的受害者选择方法比传统的基于负载的策略更有效。

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