A tight MIP formulation of the unit commitment problem with start-up and shut-down constraints
This paper provides the convex hull description of the single thermal Unit Commitment (UC) problem with the following basic operating constraints: (1) generation limits, (2) start-up and shut-down capabilities, and (3) minimum up and down times. The proposed constraints can be used as the core of an...
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oai:doaj.org-article:20335874ad3a49febec2eb25b8665fe82021-12-02T05:00:59ZA tight MIP formulation of the unit commitment problem with start-up and shut-down constraints2192-440610.1007/s13675-016-0066-yhttps://doaj.org/article/20335874ad3a49febec2eb25b8665fe82017-03-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2192440621000782https://doaj.org/toc/2192-4406This paper provides the convex hull description of the single thermal Unit Commitment (UC) problem with the following basic operating constraints: (1) generation limits, (2) start-up and shut-down capabilities, and (3) minimum up and down times. The proposed constraints can be used as the core of any unit commitment formulation to strengthen the lower bound in enumerative approaches. We provide evidence that dramatic improvements in computational time are obtained by solving the self-UC problem and the network-constrained UC problem with the new inequalities for different case studies.C. GentileG. Morales-EspañaA. RamosElsevierarticle90C1190C5790C90Applied mathematics. Quantitative methodsT57-57.97Electronic computers. Computer scienceQA75.5-76.95ENEURO Journal on Computational Optimization, Vol 5, Iss 1, Pp 177-201 (2017) |
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90C11 90C57 90C90 Applied mathematics. Quantitative methods T57-57.97 Electronic computers. Computer science QA75.5-76.95 |
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90C11 90C57 90C90 Applied mathematics. Quantitative methods T57-57.97 Electronic computers. Computer science QA75.5-76.95 C. Gentile G. Morales-España A. Ramos A tight MIP formulation of the unit commitment problem with start-up and shut-down constraints |
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This paper provides the convex hull description of the single thermal Unit Commitment (UC) problem with the following basic operating constraints: (1) generation limits, (2) start-up and shut-down capabilities, and (3) minimum up and down times. The proposed constraints can be used as the core of any unit commitment formulation to strengthen the lower bound in enumerative approaches. We provide evidence that dramatic improvements in computational time are obtained by solving the self-UC problem and the network-constrained UC problem with the new inequalities for different case studies. |
format |
article |
author |
C. Gentile G. Morales-España A. Ramos |
author_facet |
C. Gentile G. Morales-España A. Ramos |
author_sort |
C. Gentile |
title |
A tight MIP formulation of the unit commitment problem with start-up and shut-down constraints |
title_short |
A tight MIP formulation of the unit commitment problem with start-up and shut-down constraints |
title_full |
A tight MIP formulation of the unit commitment problem with start-up and shut-down constraints |
title_fullStr |
A tight MIP formulation of the unit commitment problem with start-up and shut-down constraints |
title_full_unstemmed |
A tight MIP formulation of the unit commitment problem with start-up and shut-down constraints |
title_sort |
tight mip formulation of the unit commitment problem with start-up and shut-down constraints |
publisher |
Elsevier |
publishDate |
2017 |
url |
https://doaj.org/article/20335874ad3a49febec2eb25b8665fe8 |
work_keys_str_mv |
AT cgentile atightmipformulationoftheunitcommitmentproblemwithstartupandshutdownconstraints AT gmoralesespana atightmipformulationoftheunitcommitmentproblemwithstartupandshutdownconstraints AT aramos atightmipformulationoftheunitcommitmentproblemwithstartupandshutdownconstraints AT cgentile tightmipformulationoftheunitcommitmentproblemwithstartupandshutdownconstraints AT gmoralesespana tightmipformulationoftheunitcommitmentproblemwithstartupandshutdownconstraints AT aramos tightmipformulationoftheunitcommitmentproblemwithstartupandshutdownconstraints |
_version_ |
1718400817078206464 |