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A Novel Linearization Variant of Reliability Costs in the Optimal Scheduling Model
14
Citations
4
References
2017
Year
Mathematical ProgrammingEngineeringMaintenance SchedulingOperations ResearchReliability EngineeringUncertainty QuantificationOptimal Scheduling ModelSystems EngineeringCombinatorial OptimizationWind Power GenerationReliability CostsPower System OptimizationScheduling AnalysisUnit CommitmentSmart GridBinary VariablesPower System ReliabilityScheduling ProblemProduction SchedulingNovel Linearization VariantWind Energy Technology
Reliability costs are used to evaluate the influence of large-scale wind power integration on security constrained unit commitment (SCUC), but the nonlinear expressions of reliability costs increase the complexity of the SCUC model. To address this issue, this letter presents a novel variant to exactly linearize the nonlinear expressions. Compared with the traditional approach, the proposed variant can reduce the number of binary variables, such that the computational performance of the SCUC model is significantly improved. Numerical results of the IEEE reliability test system verify the effectiveness of the proposed variant.
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