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Energies 2016, 9(6), 446;

The Influence of Environmental Constraints on the Water Value

Department of Hydraulic, Energy and Environmental Engineering, Escuela de Ingenieros de Caminos, Canales y Puertos, Technical University of Madrid (UPM), c/ Profesor Aranguren s/n, Madrid 28040, Spain
This is an expanded version of the conference paper entitled “Influence of the maximum flow ramping rates on the water value” presented in the 5th International Workshop on Hydro Scheduling in Competitive Electricity Markets held in Trondheim, Norway, 17–18 September 2015.
Author to whom correspondence should be addressed.
Academic Editor: Ånund Killingtveit
Received: 29 February 2016 / Revised: 13 May 2016 / Accepted: 6 June 2016 / Published: 9 June 2016
(This article belongs to the Special Issue Hydropower)
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The establishment of more severe hydrological environmental constraints, usually as seasonal minimum flows (ϕ) and maximum ramping rates (ρ), on hydropower operation is a growing trend. This paper presents a study on the influence of ϕ and ρ on the water values (WV) of a real hydropower plant that participates in the Spanish day-ahead electricity market. For this purpose, a master-slave algorithm, based on stochastic dynamic programming (SDP) and deterministic mixed integer linear programming (DMILP), is used on a real hydropower plant. The master module, based on SDP, has a yearly planning period with weekly time steps and considers three state variables: stored water volume in the reservoir at the beginning of each week; weekly water inflow; and average weekly energy price. The slave module, based on DMILP, has a weekly planning period with hourly time steps and considers many features of the hydropower plant operation, such as: start-up costs, evaporation, wear and tear costs, etc. The results indicate that WV of a hydropower plant are very sensitive to the presence of these constraints; ϕ especially during the wettest season and ρ during the driest one. As the severity of ϕ and ρ increase, WV increase and decrease, respectively. View Full-Text
Keywords: water value; minimum environmental flows; maximum ramping rates; stochastic dynamic programming; mixed integer linear programming water value; minimum environmental flows; maximum ramping rates; stochastic dynamic programming; mixed integer linear programming

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Guisández, I.; Pérez-Díaz, J.I.; Wilhelmi, J.R. The Influence of Environmental Constraints on the Water Value. Energies 2016, 9, 446.

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