DYNAMIC AND IMPLICIT STOCHASTIC OPTIMIZATION FOR RESERVOIR OPERATION: CASE STUDY IN SERGIPE

Authors

  • Alcigeimes Celeste Universidade Federal de Sergipe
  • Raul Fontes Santana
  • Wesley Medeiros Santos

DOI:

https://doi.org/10.5902/2179460X17169

Keywords:

Reservatórios, otimização, estocasticidade, curvas-guia, operação

Abstract

Water supply reservoirs are usually operated in accordance with so-called rule curves, which decide the ratio of demand to be met based on current conditions. This paper assesses the suitability of implicit stochastic optimization (ISO) against stochastic dynamic programming (SDP) to set up reservoir release policies. The case study is the largest reservoir in the state of Sergipe, Brazil. The models are applied to operate the reservoir under several possible 100-year inflow scenarios. Operations are also carried out by the standard operating policy (SOP) of reservoirs and by deterministic optimization based on perfect inflow forecast (PFDO), the latter used as a benchmark. In all of the 100 scenarios utilized, the performance of both SPD and ISO is superior to that of SOP and close to that of PFDO. Furthermore, the simple ISO shows to perform similarly to the more complex SDP.

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Published

2016-01-31

How to Cite

Celeste, A., Santana, R. F., & Santos, W. M. (2016). DYNAMIC AND IMPLICIT STOCHASTIC OPTIMIZATION FOR RESERVOIR OPERATION: CASE STUDY IN SERGIPE. Ciência E Natura, 38(1), 273–280. https://doi.org/10.5902/2179460X17169

Issue

Section

Mathematics