Multi-agent reinforcement learning control of a hydrostatic wind turbine-based farm
(2023)
Journal Article
Huang, Y., Lin, S., & Zhao, X. (2023). Multi-agent reinforcement learning control of a hydrostatic wind turbine-based farm. IEEE Transactions on Sustainable Energy, https://doi.org/10.1109/tste.2023.3270761
This paper leverages multi-agent reinforcement learning (MARL) to develop an efficient control system for a wind farm comprising a new type of wind turbines with hydrostatic transmission. The primary motivation for hydrostatic wind turbines (HWT) is... Read More about Multi-agent reinforcement learning control of a hydrostatic wind turbine-based farm.