Robustness: The Missing Ingredient in Generation Scheduling

This article highlights robustness as an essential factor to cope with the ever-increasing levels of uncertainty in generation scheduling under significant renewable energy penetration, as is the case in Brazil and Spain. To that end, robust generation scheduling is framed within the different optimization-based approaches that are available for uncertainty handling. In addition, the suitability of robust optimization to accommodate practical security criteria in generation scheduling is also emphasized. Interestingly, this article points out the existence of an effective algorithm allowing the discovery of critical or so-called umbrella scenarios, which paves the way for the implementation of robust generation scheduling in industry practice.

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Publication Details

Journal
IEEE Power and Energy Magazine
Published
2025-04-18
DOI
https://doi.org/10.1109/mpe.2025.3542381
Primary Topic
Firm Innovation and Growth
Type
article
Field-Weighted Citation Impact
0.00

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Robustness: The Missing Ingredient in Generation Scheduling

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article

Robustness: The Missing Ingredient in Generation Scheduling

José M. Arroyo, Alexandre Street, Alexandre Moreira, Natalia Alguacil, Luiz Barroso
article en

Abstract

This article highlights robustness as an essential factor to cope with the ever-increasing levels of uncertainty in generation scheduling under significant renewable energy penetration, as is the case in Brazil and Spain. To that end, robust generation scheduling is framed within the different optimization-based approaches that are available for uncertainty handling. In addition, the suitability of robust optimization to accommodate practical security criteria in generation scheduling is also emphasized. Interestingly, this article points out the existence of an effective algorithm allowing the discovery of critical or so-called umbrella scenarios, which paves the way for the implementation of robust generation scheduling in industry practice.

IEEE Power and Energy MagazineVol. 23(3)
Lawrence Berkeley National Laboratory (US), University of Castilla-La Mancha (ES)
U.S. Department of Energy, European Commission, Conselho Nacional de Desenvolvimento Científico e Tecnológico, Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro, Universidad de Castilla-La Mancha, Junta de Comunidades de Castilla-La Mancha, European Regional Development Fund, Agencia Estatal de Investigación
Zero hunger
Openalex Percentile: Top 88%
Firm Innovation and Growth
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