Intelligent control system of wind turbine

What is the future of wind turbine control?

The future of wind turbine control will go beyond speed and power to deliver intelligence and resilience. These systems will learn from operational data, adapt to environmental and grid changes, and contribute to a more flexible, sustainable energy landscape.

What is next-generation wind turbine control?

With turbines growing taller, blades extending longer, and installations expanding into offshore areas, supporting control systems must evolve to meet the complex demands of future power grids. This evolution calls for next-generation wind turbine control systems—a fusion of intelligent automation, digitalization, and adaptive control technologies.

Can deep reinforcement learning improve wind farm power generation efficiency?

High-fidelity CFD simulations are conducted for performance validation. Wind farms' power-generation efficiency is constrained by the high system complexity. A novel deep reinforcement learning (RL)-based wind farm control scheme is proposed to handle this challenge and achieve power generation optimization.

Can deep RL-based wind farm control improve power generation optimization?

The following results will show that our deep RL-based wind farm control method can achieve power generation optimization under such a sparse dataset collected by SOWFA. These results indicate that our method can use limited sets of actual wind farm data for algorithm training and learning purposes, and has strong applicability to real wind farms.