Deterministic optimization of short-term scheduling for hydroelectric power generation

This work focuses on the deterministic optimization of short-term scheduling for hydroelectric power generation. The proposed methodology builds on a detailed mathematical programming model by considering the topological, reservoir, and plant constraints, and by representing the hydro production by an accurate function. The formulation results in a non-convex MINLP problem. A deterministic optimization strategy to solve the problem to optimality is proposed. The goal of this technique is overcoming the limitations of the heuristics approaches proposed in the literature that cannot provide optimality guarantees. The performance of the proposed methodology is illustrated for a real case study.