08 de octubre de 2014
Resumen:
This thesis proposes computationally efficient models for optimal day-ahead planning in
(thermal) power systems to adequately manage stochastic wind production in the real-time system operation. The models can support ISOs to face the new challenges in short-term planning as uncertainty increases dramatically in managing the integration of variable generating resources.
Cita:
G. Morales-España (2014), Unit commitment: computational performance, system representation and wind uncertainty management. Madrid (España).
