Journal article · Ahead of Print article
An Efficient Robust Solution to the Two-Stage Stochastic Unit Commitment Problem
This paper proposes a reformulation of the scenario-based two-stage unitcommitment problem under uncertainty that allows finding unit-commitment plansthat perform reasonably well both in expectation and for the worst caserealization of the uncertainties. The proposed reformulation is based onpartitioning the sample space of the uncertain factors by clustering thescenarios that approximate their probability distributions.
It is, furthermore,very amenable to decomposition and parallelization using acolumn-and-constraint generation procedure.
Language: | English |
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Publisher: | IEEE |
Year: | 2017 |
Pages: | 4477-4488 |
ISSN: | 15580679 and 08858950 |
Types: | Journal article and Ahead of Print article |
DOI: | 10.1109/TPWRS.2017.2683263 |
ORCIDs: | Blanco, Ignacio |
Clustering Columnand- constraint generation Parallel computing Scenario reduction Stochastic and robust unit commitment
IEEE 14-node power system IEEE 3-area RTS-96 power system Optimization Power systems Probability distribution Production Robustness Stochastic processes Uncertainty clustering column-and-constraint generation column-and-constraint generation procedure decomposition decomposition scheme decomposition solution parallel computing parallelization scheme power generation dispatch power generation planning power generation scheduling power system security probability distributions robust unit-commitment formulation scenario reduction statistical distributions stochastic processes stochastic unit-commitment formulation two-stage stochastic unit commitment problem unit-commitment plan unit-commitment problem