Tighter MIP formulations for the discretised unit commitment problem with min-stop ramping constraints

Nicolas Dupin ()
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Nicolas Dupin: Univ. Lille, UMR 9189, CRIStAL, Centre de Recherche en Informatique Signal et Automatique de Lille

EURO Journal on Computational Optimization, 2017, vol. 5, issue 1, No 6, 149-176

Abstract: Abstract This paper elaborates compact MIP formulations for a discrete unit commitment problem with minimum stop and ramping constraints. The variables can be defined in two different ways. Both MIP formulations are tightened with clique cuts and local constraints. The projection of constraints from one variable structure to the other allows to compare and tighten the MIP formulations. This leads to several equivalent formulations in terms of polyhedral descriptions and thus in LP relaxations. We analyse how MIP resolutions differ in the efficiency of the cuts, branching and primal heuristics. The resulting MIP implementation allows to tackle real size instances for an industrial application.

Keywords: OR in energy; Unit commitment problem; Ramping constraints; Mixed integer programming; Polyhedron; Constraint reformulation; 90C11 Mixed integer programming; 90C90 Applications of mathematical programming; 90B30 Production models (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (1)

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DOI: 10.1007/s13675-016-0078-7

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