Medium-term stochastic hydrothermal scheduling with short-term operational effects for large-scale power and water networks

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dc.article.number122554
dc.catalogadoraba
dc.contributor.authorNavarro Casamayor, Andrés
dc.contributor.authorFavereau Monti, Marcel Joseph
dc.contributor.authorLorca Gálvez, Álvaro Hugo
dc.contributor.authorOlivares Quero, Daniel
dc.contributor.authorNegrete Pincetic, Matías Alejandro
dc.date.accessioned2024-01-17T19:36:04Z
dc.date.available2024-01-17T19:36:04Z
dc.date.issued2024
dc.description.abstractThe high integration of variable renewable sources in electric power systems entails a series of challenges inherent to their intrinsic variability. A critical challenge is to correctly value the water available in reservoirs in hydrothermal systems, considering the flexibility that it provides. In this context, this paper proposes a medium-term multistage stochastic optimization model for the hydrothermal scheduling problem solved with the stochastic dual dynamic programming algorithm. The proposed model includes operational constraints and simplified mathematical expressions of relevant operational effects that allow more informed assessment of the water value by considering, among others, the flexibility necessary for the operation of the system. In addition, the hydrological uncertainty in the model is represented by a vector autoregressive process, which allows capturing spatio-temporal correlations between the different hydro inflows. A calibration method for the simplified mathematical expressions of operational effects is also proposed, which allows a detailed short-term operational model to be correctly linked to the proposed medium-term linear model. Through extensive experiments for the Chilean power system, the results show that the difference between the expected operating costs of the proposed medium-term model, and the costs obtained through a detailed short-term operational model was only 0.1%, in contrast to the 9.3% difference obtained when a simpler base model is employed. This shows the effectiveness of the proposed approach. Further, this difference is also reflected in the estimation of the water value, which is critical in water shortage situations.
dc.fechaingreso.objetodigital2024-01-19
dc.format.extent16 páginas
dc.fuente.origenORCID-ene24
dc.identifier.doi10.1016/j.apenergy.2023.122554
dc.identifier.eissn1872-9118
dc.identifier.issn0306-2619
dc.identifier.urihttps://doi.org/10.1016/j.apenergy.2023.122554
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/80564
dc.information.autorucEscuela de Administración; Favereau Monti, Marcel Joseph; 0000-0001-8573-2742; 1086200
dc.information.autorucEscuela de Ingeniería; Navarro Casamayor, Andrés; S/I; 245836
dc.information.autorucEscuela de Ingeniería; Favereau Monti, Marcel Joseph; 0000-0001-8573-2742; 1086200
dc.information.autorucEscuela de Ingeniería; Lorca Gálvez, Álvaro Hugo; 0000-0002-9864-0932; 148348
dc.information.autorucEscuela de Ingeniería; Olivares Quero, Daniel; 0000-0002-9314-602X; 1013843
dc.information.autorucEscuela de Ingeniería; Negrete Pincetic, Matías Alejandro; S/I; 13212
dc.language.isoen
dc.nota.accesoContenido parcial
dc.pagina.final16
dc.pagina.inicio1
dc.revistaApplied Energy
dc.rightsacceso restringido
dc.subjectOR in energy
dc.subjectHydrothermal scheduling
dc.subjectOptimization under uncertainty
dc.subjectRenewable energy
dc.subjectStochastic dual dynamic programming
dc.subject.ddc610
dc.subject.deweyMedicina y saludes_ES
dc.titleMedium-term stochastic hydrothermal scheduling with short-term operational effects for large-scale power and water networks
dc.typeartículo
dc.volumen358
sipa.codpersvinculados1086200
sipa.codpersvinculados245836
sipa.codpersvinculados148348
sipa.codpersvinculados1013843
sipa.codpersvinculados13212
sipa.trazabilidadORCID;2024-01-08
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