SOURCE-LINKED INTELLIGENCE

Crisis-Resilient Price Discovery in Decarbonized Power Systems

CORDIS · observation · Publication date unknown

explore innovative ideas in Generalized Linear Programming and adaptive robust optimization with data-driven uncertainty sets, to support network and reliability related operator decisions, and novel machine learning developments to remove computational barriers while maintaining interpretability. Tackling major obstacles that derive from non-convexities, externalities, and uncertainty (to date open problems), leveraging demand adaptability, and combining optimization with economic theory, I will break new ground by (i) defining efficient, adaptive, and robust prices that minimize the gap between market outcomes and operator decisions, and (ii) designing innovative protection mechanisms that dynamically delineate the (blurred) boundaries between systems and markets encoding crisis resilience and shielding from catastrophic financial impacts. CRISP will break the barriers that have restricted power markets to “half-markets” for more than 30 years tapping adaptable demand and set the foundations for efficient scheduling and correct investment signals in innovation, infrastructure, reso

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recordType

award

status

SIGNED

region

EU

value

1499490

unit

EUR