Publication | Closed Access
An Extended Integral Unit Commitment Formulation and an Iterative Algorithm for Convex Hull Pricing
30
Citations
15
References
2020
Year
Mathematical ProgrammingNumerical AnalysisEngineeringConvex HullConvex Hull PricingOperations ResearchComputational FinanceCombinatorial OptimizationIterative AlgorithmApproximation TheoryIndependent System OperatorsContinuous OptimizationDerivative PricingComputer EngineeringMiso InstancesInverse ProblemsComputer ScienceUnit CommitmentUplift PaymentsOptimization ProblemConvex OptimizationLinear ProgrammingFinancial Engineering
To increase market transparency, independent system operators (ISOs) have been working on minimizing uplift payments based on convex hull pricing theorems. Along this direction, in this paper, based on the analysis of specific generator features in the Midcontinent ISO (MISO) system, besides reviewing integral formulations for several special cases, we develop two integral formulations of a single generator that can capture these features. We then build a compact convex hull pricing formulation based on these integral formulations, which guarantees to obtain an exact convex hull price by solving a large-scale linear program. Meanwhile, to address the computational challenges caused by the large-scale MISO system, we propose innovative iterative algorithms with convergence properties, plus a complementary algorithm, to obtain an approximated convex hull price. The case studies on MISO instances with and without transmission constraints indicate that our algorithms lead to an exact convex hull price for all numerical studies and, the solutions can be obtained within 20 minutes.
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