Adaptive pitch control for power stabilization of floating offshore wind turbines

The precise attenuation of wind-wave coupling perturbations on power generation stability constitutes a pivotal element in enhancing the operational efficacy of floating offshore wind turbines. A novel two-stage power stabilization control framework, integrating field data fusion forecasting with adaptive pitch regulation, is proposed to ameliorate coupled hydrodynamic-aerodynamic disturbances. A hybrid forecasting model is leveraged to predict the turbine's power output by discerning nonlinear wind-wave interactions, thereby furnishing preliminary power predictions for the subsequent two-stage variability reduction control. Spectral analysis is exploited to delineate wave-dominant frequencies in the initial stage of the control process, whilst an adaptive moving average algorithm adjusting the smoothing window dimensions dynamically, thereby refining power equilibrium. The second-stage control deploys a dual-mode pitch regulation methodology that distinguishes between two regions autonomously, applying proportional control for small-angle corrections to maximize energy capture beneath rated wind speeds judiciously, whereas constrained pitch control adjustments are activated during wind power ramp events to suppress excessive power slope variations. The robustness of the proposed framework is validated through experimental analysis utilizing offshore wind farm telemetry data, where frequency-domain decomposition reveals that 97.06% of spectral energy remains within aerodynamic-dominant frequencies, suppressing wave-induced oscillations effectively. Quantitative evaluations demonstrate a 95% reduction of wind power ramp events, accompanied by a 43.6% reduction in power slope variability and an 82.9% decrease in pitch actuator interventions.