The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Integer Programming Approach to the Problem of Optimal Unit Commitment with Probabilistic Reserve Determination
Abstract
A method for determining the unit commitment schedule for hydro-thermal systems using extensions and modifications of the Branch and Bound method for Inteler Programming has been developed. Significant features of the method include its computational practicability for realistic systems and proper representation of reserves associated with different risk levels. Contracts relating to power interchange have also been adequately modelled for such an approach.
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Cites
An Automatic Method for Solving Discrete Programming Problems
Land, A. H., & Doig, A. G. (2010) · 50 Years of Integer Programming 1958-2008 · doi:10.1007/978-3-540-68279-0_5 · Cited by 1,988
An Automatic Method of Solving Discrete Programming Problems
Land, A. H., & Doig, A. G. (1960) · Econometrica · doi:10.2307/1910129 · Cited by 1,942
Lagrangean relaxation for integer programming
Geoffrion, A. M. (1974) · Mathematical Programming Studies · doi:10.1007/bfb0120690 · Cited by 1,111
Lagrangian Relaxation for Integer Programming
Geoffrion, A. M. (2010) · 50 Years of Integer Programming 1958-2008 · doi:10.1007/978-3-540-68279-0_9 · Cited by 974
Power Generation Scheduling by Integer Programming-Development of Theory
Garver, L. L. (1962) · Transactions of the American Institute of Electrical Engineers. Part III: Power Apparatus and Systems · doi:10.1109/aieepas.1962.4501405 · Cited by 175
Cited by
A Computationally Efficient Mixed-Integer Linear Formulation for the Thermal Unit Commitment Problem
Carrion, M., & Arroyo, J. M. (2006) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2006.876672 · Cited by 1,731
Genetic algorithm solution to unit commitment problem
Madraswala, H. S., & Deshpande, A. S. (2016) · 2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES) · doi:10.1109/icpeices.2016.7853075 · Cited by 963
Optimal response of a thermal unit to an electricity spot market
Arroyo, J. M., & Conejo, A. J. (2000) · IEEE Transactions on Power Systems · doi:10.1109/59.871739 · Cited by 536
Convex Models of Distribution System Reconfiguration
Taylor, J. A., & Hover, F. S. (2012) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2012.2184307 · Cited by 444
Self-scheduling of a hydro producer in a pool-based electricity market
Conejo, A. J., Arroyo, J. M., Contreras, J., & Villamor, F. A. (2002) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2002.804951 · Cited by 326
Metadata
- Authors
- Dillon, T. S., Edwin, K. W., Kochs, H.-D., & Taud, R. J.
- Venue
- IEEE Transactions on Power Apparatus and Systems
- Published
- 1978-11
- Volume
- PAS-97
- Issue
- 6
- Pages
- 2154-2166
- ISSN
- 0018-9510 (ISSN-L)
- OpenAlex
- W1988877284
- Cited by
- 362
- References
- 5
- FWCI
- 5.20
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Integer Programming Approach to the Problem of Optimal Unit Commitment with Probabilistic Reserve Determination. https://app.cochat.ai/papers/10.1109/tpas.1978.354719
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- Dillon, T. S., Edwin, K. W., Kochs, H.-D., & Taud, R. J. (1978). Integer Programming Approach to the Problem of Optimal Unit Commitment with Probabilistic Reserve Determination. IEEE Transactions on Power Apparatus and Systems. https://doi.org/10.1109/tpas.1978.354719
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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