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Communication Dans Un Congrès Année : 2022

Predictive control based on stochastic disturbance trajectories for congestion management in sub-transmission grids

Sorin Olaru
Alessio Iovine
Manuel Ruiz
  • Fonction : Auteur
  • PersonId : 1129099
Jean Maeght
  • Fonction : Auteur
  • PersonId : 948644

Résumé

The energy transition of power grids is accompanied by a slew of new challenges arising at the design, deployment and operation levels. From the control viewpoint, the integration of renewable-energy-based power generation sources into the power grid translates into emerging uncertainties which compromise the system's stability and performance. In this paper, the main goal is to propose a model-based predictive controller that incorporates the stochastic nature of these sources into its decision-making, in order to balance upholding operational constraints with smart power generation curtailment and energy storage strategies.
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Dates et versions

hal-03767400 , version 1 (01-09-2022)

Identifiants

Citer

Nouha Dkhili, Sorin Olaru, Alessio Iovine, Manuel Ruiz, Jean Maeght, et al.. Predictive control based on stochastic disturbance trajectories for congestion management in sub-transmission grids. 18th IFAC Workshop on Control Applications of Optimization (CAO 2022), Jul 2022, GIF SUR YVETTE, France. ⟨10.1016/j.ifacol.2022.09.041⟩. ⟨hal-03767400⟩
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