Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/117279
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dc.contributor.authorRosales Asensio, Enriqueen_US
dc.contributor.authorElejalde, José-Luisen_US
dc.contributor.authorPulido Alonso, Antonioen_US
dc.contributor.authorColmenar-Santos, Antonioen_US
dc.date.accessioned2022-07-22T12:34:29Z-
dc.date.available2022-07-22T12:34:29Z-
dc.date.issued2022en_US
dc.identifier.issn2079-9292en_US
dc.identifier.otherScopus-
dc.identifier.urihttp://hdl.handle.net/10553/117279-
dc.description.abstractOne of the main objectives of new operating regimes, such as transactional power systems, is to make the power grid more resilient to catastrophes and disturbances, while at the same time making it possible to supply electricity to the largest number of customers. Although this is true, it is well known among power system operators that not all customers are the same. The consequence of this is that any discussion around the impact of transactional power systems on power system resilience should consider the needs of its critical users (such as control centers, fire stations, and hospitals) over other users. In assessing power system resilience, a metric is needed that gives “bonus points” to those systems that, under all circumstances, can continue to provide electricity to their critical users. In order to serve as a parameter in the assessment of power grid resilience, the research presented here discusses the proportion of critical loads existing in critical infrastructures. Once the critical loads are characterized, the next step is the inclusion of these loads in resilience metrics. This paper proposes resiliency metrics in which certain customers (those categorized as critical) are assigned a higher weight than others. One thing to keep in mind is the fact that there is no one-size-fits-all approach for all power systems, and that the assignment of such weights to customers can vary significantly from one operator to another based on their unique systems and the current and expected states of their critical customersen_US
dc.languageengen_US
dc.relation.ispartofElectronics (Switzerland)en_US
dc.sourceElectronics (Switzerland) [ISSN 2079-9292], v. 11 (14), 2246, (Julio 2022)en_US
dc.subject3322 Tecnología energéticaen_US
dc.subject.otherResilience metricsen_US
dc.subject.otherCritical customersen_US
dc.subject.otherCritical loadsen_US
dc.subject.otherCustomer prioritizationen_US
dc.titleResilience Framework, Methods, and Metrics for the Prioritization of Critical Electrical Grid Customersen_US
dc.typeinfo:eu-repo/semantics/articleen_US
dc.identifier.doi10.3390/electronics11142246en_US
dc.identifier.scopus85136374008-
dc.contributor.orcidNO DATA-
dc.contributor.orcidNO DATA-
dc.contributor.orcidNO DATA-
dc.contributor.orcid0000-0001-8543-4550-
dc.contributor.authorscopusid56606316400-
dc.contributor.authorscopusid57853876500-
dc.contributor.authorscopusid57854854900-
dc.contributor.authorscopusid57205455081-
dc.identifier.eissn2079-9292-
dc.identifier.issue14-
dc.relation.volume11en_US
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Artículoen_US
dc.description.notasThis article belongs to the Special Issue Resilience Metrics Development for Power Systemsen_US
dc.utils.revisionen_US
dc.date.coverdateJulio 2022en_US
dc.identifier.ulpgcen_US
dc.contributor.buulpgcBU-INGen_US
dc.description.sjr0,628-
dc.description.jcr2,9-
dc.description.sjrqQ2-
dc.description.jcrqQ2-
dc.description.scieSCIE-
dc.description.miaricds10,5-
item.grantfulltextopen-
item.fulltextCon texto completo-
crisitem.author.deptGIR Group for the Research on Renewable Energy Systems-
crisitem.author.deptDepartamento de Ingeniería Eléctrica-
crisitem.author.deptGIR SIANI: Computación Evolutiva y Aplicaciones-
crisitem.author.deptIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.deptDepartamento de Ingeniería Eléctrica-
crisitem.author.orcid0000-0003-4112-5259-
crisitem.author.orcid0000-0002-3406-5086-
crisitem.author.parentorgDepartamento de Ingeniería Mecánica-
crisitem.author.parentorgIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.fullNameRosales Asensio, Enrique-
crisitem.author.fullNamePulido Alonso, Antonio-
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