000108369 001__ 108369
000108369 005__ 20230830110641.0
000108369 0247_ $$2doi$$a10.1109/ROPEC50909.2020.9258709
000108369 0248_ $$2sideral$$a122699
000108369 037__ $$aART-2020-122699
000108369 041__ $$aeng
000108369 100__ $$0(orcid)0000-0003-3992-4393$$aBeyza, J.$$uUniversidad de Zaragoza
000108369 245__ $$aVulnerability and Resilience Assessment of Power Systems: From Deterioration to Recovery via a Topological Model based on Graph Theory
000108369 260__ $$c2020
000108369 5060_ $$aAccess copy available to the general public$$fUnrestricted
000108369 5203_ $$aTraditionally, vulnerability is the level of degradation caused by failures or disturbances, and resilience is the ability to recover after a high-impact event. This paper presents a topological procedure based on graph theory to evaluate the vulnerability and resilience of power grids. A cascading failures model is developed by eliminating lines both deliberately and randomly, and four restoration strategies inspired by the network approach are proposed. In the two cases, the degradation and recovery of the electrical infrastructure are quantified through four centrality measures. Here, an index called flow-capacity is proposed to measure the level of network overload during the iterative processes. The developed sequential framework was tested on a graph of 600 nodes and 1196 edges built from the 400 kV high-voltage power system in Spain. The conclusions obtained show that the statistical graph indices measure different topological aspects of the network, so it is essential to combine the results to obtain a broader view of the structural behaviour of the infrastructure.
000108369 540__ $$9info:eu-repo/semantics/openAccess$$aAll rights reserved$$uhttp://www.europeana.eu/rights/rr-f/
000108369 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion
000108369 700__ $$aBravo, V.M.
000108369 700__ $$0(orcid)0000-0003-2457-0422$$aGarcia-Paricio, E.$$uUniversidad de Zaragoza
000108369 700__ $$0(orcid)0000-0003-3174-9703$$aYusta, J.M.$$uUniversidad de Zaragoza
000108369 700__ $$0(orcid)0000-0001-7764-235X$$aArtal-Sevil, J.S.$$uUniversidad de Zaragoza
000108369 7102_ $$15009$$2535$$aUniversidad de Zaragoza$$bDpto. Ingeniería Eléctrica$$cÁrea Ingeniería Eléctrica
000108369 773__ $$g20198618 (2020), [6 pp]$$pIEEE Int. Autumn Meet. Power Electron. Comput.$$tIEEE International Autumn Meeting on Power, Electronics and Computing$$x2381-5515
000108369 8564_ $$s316315$$uhttps://zaguan.unizar.es/record/108369/files/texto_completo.pdf$$yPostprint
000108369 8564_ $$s3007082$$uhttps://zaguan.unizar.es/record/108369/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint
000108369 909CO $$ooai:zaguan.unizar.es:108369$$particulos$$pdriver
000108369 951__ $$a2023-08-30-10:58:32
000108369 980__ $$aARTICLE