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Decentralized-coordinated model predictive control for a hydro-power valley

Author

Listed:
  • Zárate Flórez, J.
  • Martinez, J.
  • Besançon, G.
  • Faille, D.

Abstract

This paper aims at improving control systems for hydro-power production, by combining model predictive control techniques with decomposition–coordination methods for a global optimization over a whole hydro-power valley. It first recalls the model predictive control formulation for a centralized solution presented as the reference for comparison, and emphasizes the possible use of explicit solutions in the considered problem, making easier its practical use. It then highlights the further interest of such solutions in a decomposition–coordination approach, allowing to reduce the computational cost even more with a purpose of real-time implementation, and at the same time to take advantage of the distributed nature of the considered system. The results are illustrated on the basis of a real-data-based case-study provided by EDF11Electricité de France. group.

Suggested Citation

  • Zárate Flórez, J. & Martinez, J. & Besançon, G. & Faille, D., 2013. "Decentralized-coordinated model predictive control for a hydro-power valley," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 91(C), pages 108-118.
    • Handle: RePEc:eee:matcom:v:91:y:2013:i:c:p:108-118
    DOI: 10.1016/j.matcom.2012.04.005
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    Cited by:

    1. Lu, Ke & Du, Pingping & Cao, Jinde & Zou, Qiming & He, Tianjia & Huang, Wei, 2019. "A novel traffic signal split approach based on Explicit Model Predictive Control," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 155(C), pages 105-114.

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