78177 20200716101441.0 doi 10.3390/en12030421 sideral 110926 ART-2019-110926 eng (orcid)0000-0003-3992-4393 Beyza, J. Universidad de Zaragoza Applying complex network theory to the vulnerability assessment of interdependent energy infrastructures 2019 Access copy available to the general public Unrestricted In this paper, we evaluate the use of statistical indexes from graph theory as a possible alternative to power-flow techniques for analyzing cascading failures in coupled electric power and natural gas transmission systems. Both methodologies are applied comparatively to coupled IEEE and natural gas test networks. The cascading failure events are simulated through two strategies of network decomposition: Deliberate attacks on highly connected nodes and random faults. The analysis is performed by simulating successive N-k contingencies in a coupled network, where the network structure changes with the elimination of each node. The suitability of graph-theoretic techniques for assessing the vulnerability of interdependent electric power and natural gas infrastructures is demonstrated. info:eu-repo/grantAgreement/ES/MINECO/ENE2016-77172-R info:eu-repo/semantics/openAccess by http://creativecommons.org/licenses/by/3.0/es/ 2.702 2019 0.635 2019 ENERGY & FUELS 63 / 112 = 0.562 2019 Q3 T2 Control and Optimization 2019 Q2 Electrical and Electronic Engineering 2019 Q2 Renewable Energy, Sustainability and the Environment 2019 Q2 Energy Engineering and Power Technology 2019 Q2 Fuel Technology 2019 Q2 Energy (miscellaneous) 2019 Q2 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion (orcid)0000-0003-2457-0422 Garcia-Paricio, E. Universidad de Zaragoza (orcid)0000-0003-3174-9703 Yusta, J.M. Universidad de Zaragoza 5009 535 Universidad de Zaragoza Dpto. Ingeniería Eléctrica Área Ingeniería Eléctrica 12, 3 (2019), 421 [16 pp] ENERGIES Energies 1996-1073 599677 http://zaguan.unizar.es/record/78177/files/texto_completo.pdf Versión publicada 107884 http://zaguan.unizar.es/record/78177/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:78177 articulos driver 2020-07-16-08:59:05 ARTICLE