A scalable mixed-integer programming model for multi-period hydropower planning in a single-reservoir system

This paper presents a mixed-integer linear formulation for solving a multi-period hydropower production planning problem in a single-reservoir system. The model offers a tractable yet realistic framework for long-term planning of hydropower operations. We utilize a production-driven dispatch model a...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:Applied energy Ročník 397; s. 126376
Hlavní autoři: Karamyar, Fatemeh, Sefair, Jorge A., Wei, Yuhang, Sabo, John L.
Médium: Journal Article
Jazyk:angličtina
Vydáno: Elsevier Ltd 01.11.2025
Témata:
ISSN:0306-2619
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí:This paper presents a mixed-integer linear formulation for solving a multi-period hydropower production planning problem in a single-reservoir system. The model offers a tractable yet realistic framework for long-term planning of hydropower operations. We utilize a production-driven dispatch model aimed at optimizing water releases at reservoirs and dams to maximize hydropower generation. The approach discretizes water levels, simplifies nonconvex dynamics, and prescribes easy-to-interpret operational curves for release guidance. Key features include a head-dependent hydropower function, upstream flow travel time, smoothing constraints on water release, and a turbine switch-off policy. The model is evaluated using real data from the Lower Mekong Basin. •A tractable and realistic model for long-term hydropower operation planning.•An approach that discretizes water levels, simplifies nonconvex dynamics, and prescribes intuitive operational curves for release guidance.•Incorporates key features, including a head-dependent hydropower function, upstream flow travel time, smoothing constraints for water release, and a turbine switch-off policy.•Validated using real-world data from the Lower Mekong Basin.
ISSN:0306-2619
DOI:10.1016/j.apenergy.2025.126376