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Monotonicity properties and spectral characterization of power redistribution in cascading failures

机译:级联故障中功率重新分配的单调性和频谱特征

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In this work, we apply spectral graph theory methods to study the monotonicity and structural properties of power redistribution in a cascading failure process. We demonstrate that in contrast to the lack of monotonicity in physical domain, there is a rich collection of monotonicity one can explore in the spectral domain, leading to a systematic way to define topological metrics that are monotonic. It is further shown that many useful quantities in cascading failure analysis can be unified into a spectral inner product, which itself is related to graphical properties of the transmission network. Such graphical interpretations precisely capture the Kirchhoff's law expressed in terms of graph structural properties and gauge the impact of a line when it is tripped. We illustrate that our characterization leads to a tree-partition of the network so that failure cascading can be localized.
机译:在这项工作中,我们应用频谱图理论方法研究级联故障过程中功率重新分配的单调性和结构特性。我们证明,与物理域中缺乏单调性相反,人们可以在光谱域中探索丰富的单调性集合,从而导致系统地定义单调的拓扑度量。进一步表明,级联故障分析中的许多有用量可以统一为一个频谱内部乘积,其本身与传输网络的图形属性有关。这样的图形解释准确地捕获了用图形结构特性表示的基尔霍夫定律,并测量了线路跳闸时的影响。我们说明了我们的表征导致了网络的树形分区,因此故障级联可以本地化。

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