2026-05-31T15:15:07Zhttps://riuma.uma.es/rest/oai/request

oai:riuma.uma.es:10630/239142026-02-03T11:10:07Zcom_10630_2254col_10630_37953

Cost-driven screening of network constraints for the unit commitment problem Porras, Álvaro Pineda-Morente, Salvador Morales-González, Juan Miguel Jiménez-Cordero, María Asunción Circuitos de interfaces Circuitos lógicos Ingeniería - Estimación de costes Optimización combinatoria Energía - Consumo 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 constraints as possible. While the elimination strategies based on machine learning are fast and typically delete more constraints, they may be over-optimistic and result in infeasible UC solutions. For their part, optimization-based methods seek to identify redundant constraints in the full UC formulation by exploring the feasibility region of an LP-relaxation. In doing so, these methods only get rid of line-flow constraints whose removal leaves the feasibility region of the original UC problem unchanged. In this paper, we propose a procedure to substantially increase the line-flow constraints that are filtered out by optimization-based methods without jeopardizing their appealing ability of preserving feasibility. Our approach is based on tightening the LP-relaxation that the optimization-based method uses with a valid inequality related to the objective function of the UC problem and hence, of an economic nature. The result is that the so strengthened optimization-based method identifies not only redundant line-flow constraints but also inactive ones, thus leading to more reduced UC formulations. 2022-04-05T07:41:34Z 2022-04-05T07:41:34Z 2022-04-04 2022-03-16 journal article Porras, A., Pineda, S., Morales, J. M. & Jiménez Cordero, A. Cost-driven screening of network constraints for the unit commitment problem. En IEEE Transactions on Power Systems.https://dx.doi.org/10.1109/TPWRS.2022.3160016 https://hdl.handle.net/10630/23914 10.1109/TPWRS.2022.3160016 eng http://creativecommons.org/licenses/by/4.0/ open access Atribución 4.0 Internacional The Institute of Electrical and Electronics Engineers (IEEE)