Heterogeneous power system scheduling optimization: a data-driven risk-aware framework

Yunyuan Lu

doi:10.1016/j.suscom.2026.101485

Heterogeneous power system scheduling optimization: a data-driven risk-aware framework

2026-09-23

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DOI：10.1016/j.suscom.2026.101485

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• A data-driven offline–online dispatch paradigm is developed for low-carbon HPS. • Renewable scenarios are grouped into operational risk domains by consensus clustering. • Domain-specific IGDT strategies are calibrated using intra-cluster uncertainty dispersion. • Real-time risk states are identified by Stacking for direct strategy deployment. • The proposed framework achieves 95.0% accuracy and approximately 10 ms response time.

Heterogeneous power system scheduling optimization: a data-driven risk-aware framework

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