Distributed Reinforcement Learning and Consensus Control of Energy Systems

Jennifer King (Inventor), Paul Fleming (Inventor), Emiliano Dall-Anese (Inventor), Christopher Bay (Inventor), Peter Graf (Inventor)

Research output: Patent


Disclosed herein are methods, systems, and devices for utilizing distributed reinforcement learning and consensus control to most effectively generate and utilize energy. In some embodiments, individual turbines within a wind farm may communicate to reach a consensus as to the desired yaw angle based on the wind conditions.
Original languageAmerican English
Patent number11,725,625 B2
Filing date15/08/23
StatePublished - 2023

NREL Publication Number

  • NREL/PT-5000-87269


  • alternating direction method of multipliers (ADMM)
  • operating parameter
  • wind measurement


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