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Ph. D. Thesis information

Unit commitment: computational performance, system representation and wind uncertainty management

Germán Andrés Morales España

Supervised by Andrés Ramos Galán, Javier García González

Universidad Pontificia Comillas. Madrid (Spain)

October 8th, 2014

Summary:
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.




Citation:
G. Morales-España (2014), Unit commitment: computational performance, system representation and wind uncertainty management. Universidad Pontificia Comillas. Madrid (Spain).


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