Medium-Term hydropower scheduling with variable head under inflow, energy and reserve capacity price uncertainty

Based on climate variables from this scenario and observed inflow series to the hydropower system, we estimate a supply model for the hydropower and wind power system in the

Keywords: Hydropower scheduling, capacity reserves, Primary Frequency Reserve (PFR) market, Stochastic Dual Dynamic Programming (SDDP),

This paper presents a model for the short-term opti- mization of hydropower based on stochastic successive linear programming and illustrates through case stud- ies that the

To the knowledge of the authors, parallel implementations of the SDDP algorithm applied to the LTHS problem have (at least) synchronization points between stages in both the forward

4 show the total income from the spot market and the reserve capacity market for upward and downward reserve capacity respectively, for all hydropower plants delivering

The structure allows one to model and solve problems that need to combine strategic (long term) and operational (short term) uncertainty, without the ex- plosion in the problem

This paper describes how the recently developed stochastic dual dynamic integer programming (SDDiP) method can incorporate nonconvex environmental constraints in the medium- and

Stochastic dual dynamic programming (SDDP) is a state- of-the-art algorithm for long- and medium-term hydropower scheduling with a linear problem formulation.. A recently pro-