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Unit Commitment—A Bibliographical Survey
Abstract
With the fast-paced changing technologies in the power industry, new power references addressing new technologies are coming to the market. So there is an urgent need to keep track of international experiences and activities taking place in the field of modern unit-commitment (UC) problem. This paper gives a bibliographical survey, mathematical formulations, and general backgrounds of research and developments in the field of UC problem for past 35 years based on more than 150 published articles. The collected literature has been divided into many sections, so that new researchers do not face any difficulty in carrying out research in the area of next-generation UC problem under both the regulated and deregulated power industry.
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Cited by
Tight and compact MILP formulation for the thermal unit commitment problem
Morales-Espana, Latorre, J. M., & Ramos, A. (2013) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2013.2251373 · Cited by 419
A review on electric vehicles interacting with renewable energy in smart grid
Liu, L., Kong, F., Liu, X., Peng, Y., & Wang, Q. (2015) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2015.06.036 · Cited by 314
Quantum computing for energy systems optimization: Challenges and opportunities
Ajagekar, A., & You, F. (2019) · Energy · doi:10.1016/j.energy.2019.04.186 · Cited by 289
Moehle, N., Busseti, E., Boyd, S., & Wytock, M. (2019) · Springer Optimization and Its Applications · doi:10.1007/978-3-030-22788-3_4 · Cited by 20
Metadata
- Authors
- Padhy, N. P.
- Venue
- IEEE Transactions on Power Systems
- Published
- 2004-05
- Volume
- 19
- Issue
- 2
- Pages
- 1196-1205
- ISSN
- 0885-8950 (ISSN-L)
- OpenAlex
- W2159528632
- Cited by
- 1,001
- References
- 0
- FWCI
- 18.31
- Type
- journal article
- Language
- en
- Open access
- closed
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
