Joint optimization of regional water-power systems

•Economical optimization proposed for joint modelling of water and power systems.•Stochastic dual dynamic programming used as optimization algorithm.•Optimal allocation achieved by managing the systems according to local conditions.•Method adequate for assessing spatio-temporal interactions of water...

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Bibliographic Details
Published in:Advances in water resources Vol. 92; pp. 200 - 207
Main Authors: Pereira-Cardenal, Silvio J., Mo, Birger, Gjelsvik, Anders, Riegels, Niels D., Arnbjerg-Nielsen, Karsten, Bauer-Gottwein, Peter
Format: Journal Article
Language:English
Published: Elsevier Ltd 01.06.2016
Subjects:
Allocations
basins
dynamic programming
electric power
Electric power generation
energy
Freshwater
Hydroelectric power
hydrology
Hydropower
Iberian Peninsula
Irrigation
Marine
market power
Optimization
Productivity
Stochastic dual dynamic programming
water allocation
Water consumption
water power
Water resources
Water-energy models
Water-energy nexus
watersheds
ANE, Europe, Iberian Peninsula
Iberian Peninsula
Water-energy models
Hydropower
Irrigation
Stochastic dual dynamic programming
Water-energy nexus
ISSN:0309-1708, 1872-9657
Online Access:Get full text
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Summary:•Economical optimization proposed for joint modelling of water and power systems.•Stochastic dual dynamic programming used as optimization algorithm.•Optimal allocation achieved by managing the systems according to local conditions.•Method adequate for assessing spatio-temporal interactions of water-power systems. Energy and water resources systems are tightly coupled; energy is needed to deliver water and water is needed to extract or produce energy. Growing pressure on these resources has raised concerns about their long-term management and highlights the need to develop integrated solutions. A method for joint optimization of water and electric power systems was developed in order to identify methodologies to assess the broader interactions between water and energy systems. The proposed method is to include water users and power producers into an economic optimization problem that minimizes the cost of power production and maximizes the benefits of water allocation, subject to constraints from the power and hydrological systems. The method was tested on the Iberian Peninsula using simplified models of the seven major river basins and the power market. The optimization problem was successfully solved using stochastic dual dynamic programming. The results showed that current water allocation to hydropower producers in basins with high irrigation productivity, and to irrigation users in basins with high hydropower productivity was sub-optimal. Optimal allocation was achieved by managing reservoirs in very distinct ways, according to the local inflow, storage capacity, hydropower productivity, and irrigation demand and productivity. This highlights the importance of appropriately representing the water users’ spatial distribution and marginal benefits and costs when allocating water resources optimally. The method can handle further spatial disaggregation and can be extended to include other aspects of the water-energy nexus.
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ISSN:0309-1708
1872-9657
DOI:10.1016/j.advwatres.2016.04.004