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Ranking critical assets in interdependent energy transmission networks

机译:在相互依存的能源传输网络中对关键资产进行排名

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This article proposes a procedure based on graph theory to identify critical assets in integrated natural gas and electricity infrastructures. In order to validate the results achieved with the graph-based approach, the technique of coupled electricity and gas flows is also used. The criticality level of each node is calculated using the geodesic vulnerability topological index and the classification is determined via a dimensionless measure called damage area. This measure quantifies the performance under cascading failures following the removal of each asset. The methodology is applied to an infrastructure system composed of an IEEE network of 118 buses and a natural gas system of 25 nodes and three compressors, resulting in 557 different case studies. As a conclusion, it is demonstrated that graph theory can be useful and accurate in evaluating and identifying the most critical assets of interdependent electricity and natural gas infrastructures.
机译:本文提出了一种基于图论的程序来识别天然气和电力基础设施中的关键资产。为了验证基于图的方法所获得的结果,还使用了电流和气流耦合技术。使用测地线易损性拓扑指数计算每个节点的关键程度,并通过称为损坏区域的无量纲度量确定分类。此措施量化了在删除每个资产后级联故障下的性能。该方法应用于基础设施系统,该基础设施系统由118条总线的IEEE网络,25个节点的天然气系统和3台压缩机组成,产生了557个不同的案例研究。结论表明,图论在评估和识别相互依存的电力和天然气基础设施的最关键资产方面可以是有用和准确的。

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