Hydropower Scheduling with State-Dependent Discharge Constraints: An SDDP Approach

Environmental constraints in hydropower systems serve to ensure sustainable use of water resources. Through accurate treatment scheduling, one seeks respect such the planning phase while optimizing utilization hydropower. However, many environmental introduce state-dependencies and even nonconvexities scheduling problem, making them challenging represent stochastic models. This paper describes how state-dependent maximum discharge constraint, which is widely enforced Norwegian system, can be embedded within dual dynamic programming (SDDP) algorithm for without compromising computational time. In this work, a combination constraint relaxation time-dependent auxiliary lower reservoir volume bounds applied, modeling verified through experiments on two different systems. The results demonstrate that addition an bound has significant potential improved system operation, based minimum accumulated inflow period most efficient.