Robust optimization in power systems: a tutorial overview
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Claims the paper makes
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Each is checked against this paper’s own text: does it say what the citing paper says it does?
Robust optimization is a two-stage optimization problem where the inner level minimizes the objective function and the outer level maximizes the inner-optimization within an uncertainty set.
“Robust optimization is a two-stage optimization problem where the inner level minimizes the objective function and the outer level maximizes the inner-optimization within an uncertainty set [22]-[24], [29].”
From Chance constrained day-ahead robust flexibility needs assessment for low voltage distribution network (2022) · cites this paper as [22]
Cited by
Sorted by citations
Hashmi, M. U., Koirala, A., Ergun, H., & Van Hertem, D. (2022) · arXiv · doi:10.48550/arxiv.2207.10234 · Cited by 1 · see citing works
- Authors
- Conejo, A. J., & Wu, X.
- Affiliations
- The Ohio State University (US)
- American Electric Power (United States) (US)
- Corresponding author
- Conejo, Antonio J.
- Venue
- Optimization and Engineering
- Published
- 2021-07-17
- Volume
- 23
- Issue
- 4
- Pages
- 2051-2073
- ISSN
- 1389-4420 (ISSN-L)
- 1573-2924
- OpenAlex
- W3195104199
- Cited by
- 44
- References
- 0
- Citations by year
- 2026: 6 · 2025: 13 · 2024: 12 · 2023: 6 · 2022: 7
- FWCI
- 1.84
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Optimization and Engineering (publishedVersion)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Power System Optimization
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Optimal Power Flow Distribution
- Physical Sciences › Engineering › Safety, Risk, Reliability and Quality › Power System Reliability and Maintenance
- Keywords
- robust optimization, adaptive robust optimization, distributionally robust optimization, power system operation, power system planning, transmission line contingencies, intentional attacks, natural disasters, short-term operation, long-term planning
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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