Please use this identifier to cite or link to this item:
http://hdl.handle.net/10553/117279
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Rosales Asensio, Enrique | en_US |
dc.contributor.author | Elejalde, José-Luis | en_US |
dc.contributor.author | Pulido Alonso, Antonio | en_US |
dc.contributor.author | Colmenar-Santos, Antonio | en_US |
dc.date.accessioned | 2022-07-22T12:34:29Z | - |
dc.date.available | 2022-07-22T12:34:29Z | - |
dc.date.issued | 2022 | en_US |
dc.identifier.issn | 2079-9292 | en_US |
dc.identifier.other | Scopus | - |
dc.identifier.uri | http://hdl.handle.net/10553/117279 | - |
dc.description.abstract | One 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 customers | en_US |
dc.language | eng | en_US |
dc.relation.ispartof | Electronics (Switzerland) | en_US |
dc.source | Electronics (Switzerland) [ISSN 2079-9292], v. 11 (14), 2246, (Julio 2022) | en_US |
dc.subject | 3322 Tecnología energética | en_US |
dc.subject.other | Resilience metrics | en_US |
dc.subject.other | Critical customers | en_US |
dc.subject.other | Critical loads | en_US |
dc.subject.other | Customer prioritization | en_US |
dc.title | Resilience Framework, Methods, and Metrics for the Prioritization of Critical Electrical Grid Customers | en_US |
dc.type | info:eu-repo/semantics/article | en_US |
dc.identifier.doi | 10.3390/electronics11142246 | en_US |
dc.identifier.scopus | 85136374008 | - |
dc.contributor.orcid | NO DATA | - |
dc.contributor.orcid | NO DATA | - |
dc.contributor.orcid | NO DATA | - |
dc.contributor.orcid | 0000-0001-8543-4550 | - |
dc.contributor.authorscopusid | 56606316400 | - |
dc.contributor.authorscopusid | 57853876500 | - |
dc.contributor.authorscopusid | 57854854900 | - |
dc.contributor.authorscopusid | 57205455081 | - |
dc.identifier.eissn | 2079-9292 | - |
dc.identifier.issue | 14 | - |
dc.relation.volume | 11 | en_US |
dc.investigacion | Ingeniería y Arquitectura | en_US |
dc.type2 | Artículo | en_US |
dc.description.notas | This article belongs to the Special Issue Resilience Metrics Development for Power Systems | en_US |
dc.utils.revision | Sí | en_US |
dc.date.coverdate | Julio 2022 | en_US |
dc.identifier.ulpgc | Sí | en_US |
dc.contributor.buulpgc | BU-ING | en_US |
dc.description.sjr | 0,628 | - |
dc.description.jcr | 2,9 | - |
dc.description.sjrq | Q2 | - |
dc.description.jcrq | Q2 | - |
dc.description.scie | SCIE | - |
dc.description.miaricds | 10,5 | - |
item.grantfulltext | open | - |
item.fulltext | Con texto completo | - |
crisitem.author.dept | GIR Group for the Research on Renewable Energy Systems | - |
crisitem.author.dept | Departamento de Ingeniería Eléctrica | - |
crisitem.author.dept | GIR SIANI: Computación Evolutiva y Aplicaciones | - |
crisitem.author.dept | IU Sistemas Inteligentes y Aplicaciones Numéricas | - |
crisitem.author.dept | Departamento de Ingeniería Eléctrica | - |
crisitem.author.orcid | 0000-0003-4112-5259 | - |
crisitem.author.orcid | 0000-0002-3406-5086 | - |
crisitem.author.parentorg | Departamento de Ingeniería Mecánica | - |
crisitem.author.parentorg | IU Sistemas Inteligentes y Aplicaciones Numéricas | - |
crisitem.author.fullName | Rosales Asensio, Enrique | - |
crisitem.author.fullName | Pulido Alonso, Antonio | - |
Appears in Collections: | Artículos |
SCOPUSTM
Citations
6
checked on Nov 24, 2024
WEB OF SCIENCETM
Citations
2
checked on Nov 24, 2024
Page view(s)
64
checked on Jan 27, 2024
Download(s)
8
checked on Jan 27, 2024
Google ScholarTM
Check
Altmetric
Share
Export metadata
Items in accedaCRIS are protected by copyright, with all rights reserved, unless otherwise indicated.