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Hierarchical Control of a Wind Farm for Wake Interaction Minimization

Nicolo Gionfra 1 Houria Siguerdidjane 1 Guillaume Sandou 1, 2 Damien Faille 3
1 L2S - Laboratoire des signaux et systèmes
2 DISCO - Dynamical Interconnected Systems in COmplex Environments
L2S - Laboratoire des signaux et systèmes, Inria Saclay - Ile de France
3 EDF R&D STEP - Simulation et Traitement de l'information pour l'Exploitation des systèmes de Production
Abstract : The problem of controlling a wind farm for power optimization by minimizing the wake interaction among wind turbines is addressed. We aim to evaluate the real gain in farm power production when the dynamics of the controlled turbines are taken into account. The proposed local control enables the turbines to track the required power references in the whole operating envelope. Simulations are carried out based on a wind farm of 600 kW turbines and they show the actual benefit of considering the wake effect in the optimization algorithm.
Keywords : predictive control Wind turbines power tracking feedback linearization
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Submitted on : Friday, October 14, 2016 - 2:26:15 PM
Last modification on : Tuesday, April 13, 2021 - 12:20:07 PM

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  • HAL Id : hal-01381404, version 1

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CNRS | TDS-MACS | L2S | INRIA | SUP_LSS | CENTRALESUPELEC | SUP_SYSTEMES | EDF | GS-ENGINEERING | DISCO-L2S

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Nicolo Gionfra, Houria Siguerdidjane, Guillaume Sandou, Damien Faille. Hierarchical Control of a Wind Farm for Wake Interaction Minimization. IFAC Workshop on Control of Transmission and Distribution Smart Grids (CTDSG 2016), Oct 2016, Prague, Czech Republic. ⟨hal-01381404⟩

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