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Tight Mixed Integer Linear Programming Formulations for the Unit Commitment Problem
417
Citations
17
References
2011
Year
Mathematical ProgrammingEngineeringEnergy EfficiencyDiscrete OptimizationOperations ResearchEnergy OptimizationSystems EngineeringDiscrete MathematicsCombinatorial OptimizationApproximation TheoryMechanism DesignInteger OptimizationComputational ResultsPower System OptimizationInteger ProgrammingUnit CommitmentSmart GridEnergy ManagementScheduling ProblemUnit Commitment ProblemMixed Integer OptimizationUc ProblemLinear ProgrammingGrid Optimization
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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