• English
    • español
  • English 
    • English
    • español
  • Login
View Item 
  •   Home
  • 2.- Investigación
  • Artículos
  • View Item
  •   Home
  • 2.- Investigación
  • Artículos
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Future-proofed resource adequacy metrics: A model-based assessment of multi-metric vs. composite-metric reliability standards

Thumbnail
View/Open
IIT-25-282R_preprint.pdf (1.260Mb)
IIT-25-282R_preview.pdf (3.057Kb)
Date
2025-12-01
Author
Brito Pereira, Paulo
Bruninx, Kenneth
Vries, Laurens J. de
Mastropietro, Paolo
Rodilla Rodríguez, Pablo
Estado
info:eu-repo/semantics/publishedVersion
Metadata
Show full item record
Mostrar METS del ítem
Ver registro en CKH

Refworks Export

Abstract
The rapid decarbonisation of the power sector is challenging the traditional resource adequacy framework. Variable and energy-limited resources are driving the emergence of new correlations that, together with extreme weather events, are rapidly changing the expected scarcity conditions in the electricity system. Traditional resource adequacy metrics are showing their limitations under these new conditions, and many regulators have already started to reform them. This article presents the first model-based comparative analysis of two different approaches that have been proposed to overcome these limitations, i.e., multi-metric standards (imposing a set of different resource adequacy constraints) and composite-metric standards (combining different resource adequacy metrics through weighting factors to build a single reliability standard). These two approaches are quantitatively evaluated in this article through case studies obtained from a simulation model, focusing not only on the impact of the reliability standard on the resource mix, but also on the design of the reliability product to be traded in a capacity mechanism to guide the system towards that mix.
 
The rapid decarbonisation of the power sector is challenging the traditional resource adequacy framework. Variable and energy-limited resources are driving the emergence of new correlations that, together with extreme weather events, are rapidly changing the expected scarcity conditions in the electricity system. Traditional resource adequacy metrics are showing their limitations under these new conditions, and many regulators have already started to reform them. This article presents the first model-based comparative analysis of two different approaches that have been proposed to overcome these limitations, i.e., multi-metric standards (imposing a set of different resource adequacy constraints) and composite-metric standards (combining different resource adequacy metrics through weighting factors to build a single reliability standard). These two approaches are quantitatively evaluated in this article through case studies obtained from a simulation model, focusing not only on the impact of the reliability standard on the resource mix, but also on the design of the reliability product to be traded in a capacity mechanism to guide the system towards that mix.
 
URI
https://doi.org/10.1016/j.segan.2025.101957
Future-proofed resource adequacy metrics: A model-based assessment of multi-metric vs. composite-metric reliability standards
Tipo de Actividad
Artículos en revistas
ISSN
2352-4677
Materias/ categorías / ODS
Instituto de Investigación Tecnológica (IIT)
Palabras Clave
Resource adequacy; Reliability standard; Capacity mechanism; De-rating factor; Multi-metric; Composite metrics
Resource adequacy; Reliability standard; Capacity mechanism; De-rating factor; Multi-metric; Composite metrics
Collections
  • Artículos

Repositorio de la Universidad Pontificia Comillas copyright © 2015  Desarrollado con DSpace Software
Contact Us | Send Feedback
 

 

Búsqueda semántica (CKH Explorer)


Browse

All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsxmlui.ArtifactBrowser.Navigation.browse_advisorxmlui.ArtifactBrowser.Navigation.browse_typeThis CollectionBy Issue DateAuthorsTitlesSubjectsxmlui.ArtifactBrowser.Navigation.browse_advisorxmlui.ArtifactBrowser.Navigation.browse_type

My Account

LoginRegister

Repositorio de la Universidad Pontificia Comillas copyright © 2015  Desarrollado con DSpace Software
Contact Us | Send Feedback