Future-proofed resource adequacy metrics

A model-based assessment of multi-metric vs. composite-metric reliability standards

Journal Article (2025)
Author(s)

Paulo Brito-Pereira (Universidad Pontificia Comillas)

K. Bruninx (TU Delft - Energy and Industry)

Laurens De Vries (TU Delft - Energy and Industry)

Paolo Mastropietro

Pablo Rodilla

Research Group
Energy and Industry
DOI related publication
https://doi.org/10.1016/j.segan.2025.101957
More Info
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Publication Year
2025
Language
English
Research Group
Energy and Industry
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository as part of the Taverne amendment. More information about this copyright law amendment can be found at https://www.openaccess.nl. Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.@en
Volume number
44
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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.

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