Miguel Anjos

Professor and Chair of Operational Research



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Miguel Anjos

Professor and Chair of Operational Research




Miguel Anjos

Professor and Chair of Operational Research



Tight mixed integer linear programming formulations for the unit commitment problem


Journal article


J. Ostrowski, M.F. Anjos, A. Vannelli
IEEE Transactions on Power Systems, vol. 27(1), 2012, pp. 39-46


Semantic Scholar DOI
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APA   Click to copy
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   Click to copy
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   Click to copy
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.}
}

Abstract

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.





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