most citedLoad constrained wind farm flow control through multi-objective multi-agent reinforcement learning

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eess.SY2026★ 1 cited

Load constrained wind farm flow control through multi-objective multi-agent reinforcement learning

Teodor Åstrand, Marcus Binder Nilsen, Iasonas Tsaklis +3

This study presents a multi-agent reinforcement learning (MARL) framework for load-constrained wind farm flow control (WFFC). While wake steering can enhance total wind farm power,…

eess.SY2026

Hierarchical RL-MPC Control for Dynamic Wake Steering in Wind Farms

Marcus Binder Nilsen, Teodor Olof Benedict Åstrand, Tuhfe Göçmen +1

Wind farm wake steering optimization is challenging due to complex flow physics and changing conditions. This paper presents a hierarchical framework that combines reinforcement le…