Journal article
IEEE Transactions on Power Systems, vol. 27(1), 2012, pp. 39-46
Professor and Chair of Operational Research
Professor and Chair of Operational Research
Professor and Chair of Operational Research
APA
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Ostrowski, J., Anjos, M. F., & Vannelli, A. (2012). Tight mixed integer linear programming formulations for the unit commitment problem. IEEE Transactions on Power Systems, 27(1), 39–46. https://doi.org/10.1109/TPWRS.2011.2162008
Chicago/Turabian
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Ostrowski, J., M.F. Anjos, and A. Vannelli. “Tight Mixed Integer Linear Programming Formulations for the Unit Commitment Problem.” IEEE Transactions on Power Systems 27, no. 1 (2012): 39–46.
MLA
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Ostrowski, J., et al. “Tight Mixed Integer Linear Programming Formulations for the Unit Commitment Problem.” IEEE Transactions on Power Systems, vol. 27, no. 1, 2012, pp. 39–46, doi:10.1109/TPWRS.2011.2162008.
BibTeX Click to copy
@article{j2012a,
title = {Tight mixed integer linear programming formulations for the unit commitment problem},
year = {2012},
issue = {1},
journal = {IEEE Transactions on Power Systems},
pages = {39-46},
volume = {27},
doi = {10.1109/TPWRS.2011.2162008},
author = {Ostrowski, J. and Anjos, M.F. and Vannelli, A.}
}
This paper examines the polytope of feasible power generation schedules in the unit commitment (UC) problem. We provide computational results comparing formulations for the UC problem commonly found in the literature. We introduce a new class of inequalities, giving a tighter description of feasible operating schedules for generators. Computational results show that these inequalities can significantly reduce overall solution times.