84180 20191127155501.0 doi 10.1109/TLA.2018.8327409 sideral 105798 ART-2018-105798 eng (orcid)0000-0003-3992-4393 Beyza, Jesús Vulnerability assessment of a large electrical grid by new graph theory approach 2018 Access copy available to the general public Unrestricted In previous research a novel methodology to assess structural vulnerability was proposed and applied in IEEE test system and high voltage transmission networks of 94 buses, by using graph theory to investigate various risk scenarios that can trigger cascading failures. In this paper we validate the application of this methodology in larger networks by applying a case study on the transmission network 230 and 400 kV of Mexico. The events of cascading failures are simulated through two elimination strategies: by deliberate attacks on critical nodes or by random errors. Iterations are performed by running successive N-1 contingencies on a network that is constantly changing its structure with the elimination of each node. The power flows are not necessary and only the calculation of the graph statistical parameter geodesic vulnerability is required. This reduces the computation time and leads to a comparative analysis of structural vulnerability. info:eu-repo/semantics/openAccess All rights reserved http://www.europeana.eu/rights/rr-f/ 0.804 2018 ENGINEERING, ELECTRICAL & ELECTRONIC 227 / 265 = 0.857 2018 Q4 T3 COMPUTER SCIENCE, INFORMATION SYSTEMS 137 / 155 = 0.884 2018 Q4 T3 0.337 2018 Electrical and Electronic Engineering 2018 Q2 Computer Science (miscellaneous) 2018 Q2 info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion (orcid)0000-0003-3174-9703 Yusta, José M. Universidad de Zaragoza Correa, Gabriel J. Ruiz, Héctor F. 5009 535 Universidad de Zaragoza Dpto. Ingeniería Eléctrica Área Ingeniería Eléctrica 16, 2 (2018), 527-535 [9 pp.] IEEE LATIN AMERICA TRANSACTIONS 1548-0992 826986 http://zaguan.unizar.es/record/84180/files/texto_completo.pdf Postprint 126092 http://zaguan.unizar.es/record/84180/files/texto_completo.jpg?subformat=icon icon Postprint oai:zaguan.unizar.es:84180 articulos driver 2019-11-27-15:50:26 ARTICLE