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Distributed Reinforcement Learning and Consensus Control of Energy Systems

Research output: Patent

Abstract

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 number12,331,721 B2
Filing date17/06/25
StatePublished - 2025

NLR Publication Number

  • NREL/PT-5000-95610

Keywords

  • ADMM
  • alternating direction method of multipliers
  • wind measurement estimate
  • wind turbine

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