Por favor, use este identificador para citar o enlazar este ítem: https://hdl.handle.net/20.500.12008/53524

Título:

A mixed combinatorial optimization model to manage the hydrothermal dispatch for the Uruguay river hydroelectric plant

Otros títulos:

Coordinador:

Director:

Compilador:

Autor:

Risso, Claudio
Nesmachnow, Sergio
Porteiro, Rodrigo
Vignolo, Mario
Sierra, Emiliano
Ibarburu, Mario

Tutor:

Tipo de documento:

Ponencia

Editor:

Palabras clave:

Mixed-Integer Programming
Hydrothermal Dispatch
Binational Hydropower Operations

Descriptores:

Año de publicación:

2025

Contenido:

Resumen:

This study introduces a Mixed-Integer Optimization Problem (MIP) formulated to manage the hydrothermal dispatch of the Uruguayan electric system, with emphasis on the Salto Grande Hydroelectric Plant on the Uruguay River : a binational project between Argentina and Uruguay that accounts for most of Uruguay's installed hydroelectric capacity. The article supplements a previous work [11], where the non-linear production of the Río Negro Hydroelectric Complex was incorporated into a MIP. That complex is less significant for its generation capacity (power) than for its crucial storage capabilities (energy). The present work complements the earlier study by modeling the other major component of the Uruguayan hydroelectric system. Simulation results, based on historical inflow and demand data, show that the proposed approach can substantially reduce operating costs and enhance system resilience compared with traditional methods.

Descripción:

metadata.articulos.dc.description.uri:

Editorial:

ICSC-CITIES

EN:

ICSC-CITIES 2025 - VIII Congreso Ibero-Americano de Ciudades Inteligentes, Puebla, México, 10-12 nov 2025, pp. 1-15.

Financiadores:

Citación:

Risso, C., Nesmachnow, S., Porteiro, R., y otros. A mixed combinatorial optimization model to manage the hydrothermal dispatch for the Uruguay river hydroelectric plant [en línea]. EN: ICSC-CITIES 2025 - VIII Congreso Ibero-Americano de Ciudades Inteligentes, Puebla, México, 10-12 nov. 2025, pp. 1-15.

Citación:

metadata.articulos.cc.license.name:

ISBN:

e-ISBN:

ISSN:

ISMN:

Otros identificadores:

Cobertura geográfica:

Uruguay

Cobertura temporal:

Departamento académico:

Potencia

Grupo de investigación:

Licencia:

Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)
FicherosDescripciónTamañoFormato
RNPVSI25.pdf Versión presentada 486.46 KB Adobe PDF