Stochastic Optimization of a Multireservoir Hydroelectric System: A Decomposition Approach

Abstract

A computational scheme that is able to determine at each stage the most economical generation decision for each plant of a hydrothermal system is presented. The algorithm is based on the stochastic extension of Benders decomposition and can be implemented from already existing operation models. The results can be used in the weekly or monthly generation scheduling activities in real‐time operation. A case study with 37 reservoirs of the Brazilian system is presented and discussed.