Comillas Pontifical University. 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, "Unit commitment: computational performance, system representation and wind uncertainty management", PhD. dissertation, Comillas Pontifical University, Madrid, Spain, 2014.
