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Stochastic Robust Mathematical Programming Model for Power System Optimization
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DOI：10.1109/TPWRS.2015.2394320.png)
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Abstract
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This letter presents a stochastic robust framework for two-stage power system optimization problems with uncertainty. The model optimizes the probabilistic expectation of different worst-case scenarios with different uncertainty sets. A case study of unit commitment shows the effectiveness of the proposed model and algorithms.
Keywords:
Distributionally robust
power system optimization
robust optimization
stochastic
unit commitment
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