MILP and PSO approaches for solving a hydropower reservoirs intraday economic optimization problem

Rodrigo Castro-Freibott (), Carlos García-Castellano Gerbolés (), Alvaro García-Sánchez () and Miguel Ortega-Mier ()
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Rodrigo Castro-Freibott: Universidad Politécnica de Madrid
Carlos García-Castellano Gerbolés: Universidad Politécnica de Madrid
Alvaro García-Sánchez: Universidad Politécnica de Madrid
Miguel Ortega-Mier: Universidad Politécnica de Madrid

Central European Journal of Operations Research, 2025, vol. 33, issue 4, No 7, 1343-1366

Abstract: Abstract Short-term hydropower generation with several water reservoirs requires deciding, for each moment in time, the volume of water (outflow) that is released from every reservoir to be turbined and generate energy. Knowing the price of energy at every time period, the objective is to maximize the income earned from the generated energy. In this paper, we present (1) a Hydropower Reservoirs Operation Optimization problem with a higher level of detail than those found in the literature, encompassing temporal delays, water hammer effects, and increased temporal discretization, among others features, and (2) two distinct approaches for addressing this problem: MILP and PSO. These methods are compared across instances of varying nature to evaluate their performance. We make our code available on GitHub: https://github.com/baobabsoluciones/flowing-basin .

Keywords: Daily optimization; Hydropower generation; Particle swarm optimization; Multireservoir; Mixed integer linear programming (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/s10100-024-00934-z

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