Deterministic optimization of the thermal Unit Commitment problem: A Branch and Cut search
作者： Marian G. Marcovecchio , Augusto Q. Novais , Ignacio E. Grossmann
DOI: 10.1016/J.COMPCHEMENG.2014.03.009
关键词: Mathematics 、 Mathematical optimization 、 Power system simulation 、 Quadratic programming 、 Generator (mathematics) 、 Branch and cut 、 Branch and price 、 Set (abstract data type) 、 Integer (computer science) 、 Integer programming
摘要: Abstract This paper proposes a novel deterministic optimization approach for the Unit Commitment (UC) problem, involving thermal generating units. A mathematical programming model is first presented, which includes all basic constraints and set of binary variables on/off status each generator at time period, leading to convex mixed-integer quadratic (MIQP) formulation. Then, an effective solution methodology based on valid integer cutting planes proposed, implemented through Branch Cut search finding global optimal solution. The application proposed illustrated with several examples different dimensions. Comparisons other formulations are also presented.
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