Abstract:
The energy transition is reshaping power system planning and operation as renewable penetration increases and electrification expands into sectors such as heating and cooling, making systems more dependent on weather-driven variability and uncertainty. Addressing these challenges requires models that can capture both short-term operational flexibility and long-term uncertainty, supported by suitable solution methods. This presentation examines the challenges of long-term power system planning under uncertainty in the context of the energy transition and explores the use of decomposition methods, along with potential improvements to enhance their performance and applicability.
Venue: Sala de Seminarios John Von Neumann del Centro de Modelamiento Matemático (Beauchef 851, Edificio Norte, Piso 7).
Speaker: Ángela Flores
Affiliation: Universidad de Chile
Coordinator: José Verschae



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