Summary:
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.
Spanish layman's summary:
El tema principal de este artículo es la robustez, que ha surgido como un elemento clave en la programación de la generación para lograr un equilibrio práctico entre la representación de incertidumbres, la calidad de la solución y la viabilidad computacional.
English layman's summary:
The main topic of this article is robustness, which has emerged as a key ingredient of generation scheduling to attain a practical trade-off between the representation of uncertainties, solution quality, and computational tractability.
Keywords: Renewable energy sources , Job shop scheduling , Uncertainty , Processor scheduling , Stochastic processes , Probabilistic logic , Robustness , Power industry , Security , Optimization
JCR Impact Factor and WoS quartile: 3,100 - Q2 (2023)
DOI reference:
https://doi.org/10.1109/MPE.2025.3542381
Published on paper: June 2025.
Published on-line: April 2025.
Citation:
A. Street, J.M. Arroyo, N. Alguacil, L.A. Barroso, Robustness: The Missing Ingredient in Generation Scheduling. IEEE Power and Energy Magazine. Vol. 23, nº. 3, pp. 31 - 43, June 2025. [Online: April 2025]
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