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Data-driven robust optimization scheduling model for multi-area interconnected power grid
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DOI：10.1016/j.ijepes.2025.111418.png)
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Abstract
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• A distributionally robust MIPG scheduling model is formulated with decoupled intra- and inter-area constraints. • A data-driven multi-area ambiguity set integrates subarea scenario probabilities with adaptive conservatism. • A distributionally parallel algorithm accelerates computation by fully exploiting available resources.
Keywords:
Multi-area
Renewable energy
Data-driven
Robust
Distributionally parallel
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