Application of Multi-Objective Control in Power and Load Optimization of Wind Turbines

During operation, wind turbine systems are affected by external wind speed disturbances and the dynamic coupling of the system, which can lead to significant resonance phenomena within certain frequency ranges. Resonance causes a dramatic increase in the system’s dynamic response at specific frequencies, resulting in unstable power output and exacerbating the accumulation of fatigue loads, posing a threat to the safety and operational reliability of the wind turbine. To address this issue, this study proposes a multi-objective H $_{\mathrm {\infty }}$ /generalized H2 additional damping control method, which improves control precision by minimizing the integral of time-weighted absolute error of state variables, effectively suppressing the resonance peaks at critical frequencies and reducing the resulting power and load fluctuations. Experimental results show that, compared to reference open-source controller tuning, the proposed strategy reduces the standard deviations of output power, tower-top fore-aft displacement, and tower base roll moment by 19.97%, 18.90%, and 30.13%, respectively. This approach significantly enhances the power stability of the wind turbine system and effectively reduces load fluctuations, providing an efficient solution for improving the operational reliability and lifespan of wind turbines.