Ranking critical assets in interdependent energy transmission networks

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.