Listar por autor "Porras, Álvaro"
Mostrando ítems 1-6 de 6
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Cost-driven screening of network constraints for the unit commitment problem
Porras, Álvaro; Pineda-Morente, Salvador
; Morales-González, Juan Miguel; Jiménez-Cordero, María Asunción (The Institute of Electrical and Electronics Engineers (IEEE), 2022-03-16)
In an attempt to speed up the solution of the unit commitment (UC) problem, both machine-learning and optimization-based methods have been proposed to lighten the full UC formulation by removing as many superfluous line-flow ... -
Inverse optimization with kernel regression: Application to the power forecasting and bidding of a fleet of electric vehicles
Fernández-Blanco, Ricardo; Morales-González, Juan Miguel; Pineda-Morente, Salvador; Porras, Álvaro (Elsevier, 2021-10)
This paper considers an aggregator of Electric Vehicles (EVs) who aims to learn the aggregate power of his/her fleet while also participating in the electricity market. The proposed approach is based on a data-driven inverse ... -
Learning-based State Estimation in Distribution Systems with Limited Real-Time Measurements.
Gómez de la Varga, J.; Pineda-Morente, Salvador; Morales-González, Juan Miguel; Porras, Álvaro (2024-01)
The task of state estimation in active distribution systems faces a major challenge due to the integration of different measurements with multiple reporting rates. As a result, distribution systems are essentially unobservable ... -
Tight and Compact Sample Average Approximation for Joint Chance-Constrained Problems with Applications to Optimal Power Flow.
Porras, Álvaro; Domínguez Sánchez, Concepción; Morales-González, Juan Miguel; Pineda-Morente, Salvador (INFORMS, 2023-08-02)
In this paper, we tackle the resolution of chance-constrained problems reformulated via sample average approximation. The resulting data-driven deterministic reformulation takes the form of a large-scale mixed-integer ... -
Tight big-Ms for optimal transmission switching
Pineda-Morente, Salvador; Morales-González, Juan Miguel; Porras, Álvaro; Domínguez, Concepción (Elsevier, 2024)
This paper addresses the Optimal Transmission Switching (OTS) problem in electricity networks, which aims to find an optimal power grid topology that minimizes system operation costs while satisfying physical and operational ... -
Unifying Chance-Constrained and Robust Optimal Power Flow for Resilient Network Operations.
Uncertainty in renewable energy generation has the potential to adversely impact the operation of electric networks. Numerous approaches to manage this impact have been proposed, ranging from stochastic and chance-constrained ...