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Impacts of operating characteristics on sensitivity of power grids to cascading failures

机译:运行特性对电网对级联故障敏感性的影响

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Sensitivity analysis of power grids to cascading failures by means of considering their critical dependence on their operating characteristics is an important step toward understanding and mitigating cascading failures. In this paper, a recently reported probabilistic cascading-failure model is further analyzed to provide key evidence that the reliability of power grids critically depends on operating characteristics of the power grid including the loading level, load-shedding constraints and the line-tripping threshold. The cascading-failure model is based on a Markov chain whose transition probabilities have a state-dependent functional form that is inspired by power-system simulations. It is argued through the asymptotic analysis of the Markov-chain model that certain changes in the operating characteristics make the power system prone to large-scale cascading failures, as evidenced by a power-law behavior in the tail of the probability distribution of the blackout size.
机译:考虑到电网对连锁故障的关键依赖性,对连锁故障进行敏感性分析是迈向理解和缓解连锁故障的重要一步。在本文中,将对最近报告的概率级联故障模型进行进一步分析,以提供关键证据,证明电网的可靠性关键取决于电网的运行特性,包括负荷水平,负荷减轻约束和线路跳闸阈值。级联故障模型基于马尔可夫链,其转移概率具有受电源系统仿真启发的状态相关的函数形式。通过马尔可夫链模型的渐近分析,有人认为运行特征的某些变化使电力系统易于发生大规模的级联故障,如停电概率分布尾部的幂律行为所证明的那样。尺寸。

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