LOAD PREDICTION CONTROL FOR INDIVIDUAL PITCH SYSTEM BASED ON FFRLS

Jiang Ping; Geng Jinpeng; Zhang Tianyi; Fu Lei

doi:10.19912/j.0254-0096.tynxb.2024-1348

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Acta Energiae Solaris Sinica ›› 2025, Vol. 46 ›› Issue (12) : 701-707. DOI: 10.19912/j.0254-0096.tynxb.2024-1348

LOAD PREDICTION CONTROL FOR INDIVIDUAL PITCH SYSTEM BASED ON FFRLS

Jiang Ping, Geng Jinpeng, Zhang Tianyi, Fu Lei

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Abstract

The article suggests a load prediction control strategy for the independent pitch system based on the online identification model of the parameters in an effort to address the impact of time-varying wind speed on the aerodynamic load coefficient of wind turbines and the ensuing increase in the unbalanced load of the wind turbine. Using FFRLS, the time-varying factors in the independent pitch system are first detected online. Based on these parameters, a multi-step prediction model is then built. Lastly, rolling optimization is used to determine the blade's pitch angle in real time. The experiments based on the NREL 5 MW wind turbine model in FAST-Matlab co-simulation validate the prediction accuracy of the multi-step prediction model constructed based on the online identification parameters and the benefits of the designed control strategy in mitigating the unbalanced load of the wind turbine.

Key words

individual pitch control / parameter identification / model predictive control / loads / wind power / pitch angle

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Jiang Ping, Geng Jinpeng, Zhang Tianyi, Fu Lei. LOAD PREDICTION CONTROL FOR INDIVIDUAL PITCH SYSTEM BASED ON FFRLS[J]. Acta Energiae Solaris Sinica. 2025, 46(12): 701-707 https://doi.org/10.19912/j.0254-0096.tynxb.2024-1348

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