IEEE Transactions on Power Systems · 2011 · 422 citations · 17 references
Natural SciencesIndustrial EngineeringEnergy EconomicsOptimizationSchedulingCombinatorial OptimizationConstrained OptimizationDiscrete OptimizationInteger ProgrammingLinear ProgrammingOptimization TheoryInteger Linear ProgrammingMixed-integer Linear ProgrammingMixed-integer ProgrammingMixed-integer Programming For SchedulingPower GenerationPower Generation SchedulingScheduling ProblemsUnit Commitment
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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Integer and combinatorial optimization
Computers & Mathematics with Applications · 1999 · 1.1K citations