Álvaro Lorca

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Robust optimization, as a powerful paradigm for optimization under uncertainty, has recently attracted increasing attention in power system operations. In particular, adaptive robust optimization models have been proposed for the day-ahead unit commitment as well as real-time economic dispatch problems in power systems with a high penetration level of(More)
The growing uncertainty associated with the increasing penetration of wind and solar power generation has presented new challenges to the operation of large-scale electric power systems. Motivated by these challenges, we present a multistage adaptive robust optimization model for the most critical daily operational problem of power systems, namely the unit(More)
7 The increasing penetration of uncertain generation such as wind and solar in power systems imposes new challenges to the Unit Commitment (UC) problem, one of the most critical tasks in power systems operations. The two most common approaches to address these challenges — stochastic and robust optimization — have drawbacks that restrict their application(More)
The increasing penetration of uncertain generation such as wind and solar in power systems imposes new challenges to the Unit Commitment (UC) problem, one of the most critical tasks in power systems operations. The two most common approaches to address these challenges — stochastic and robust optimization — have drawbacks that prevent or restrict their(More)
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