RESEARCH ON INDIVIDUAL PITCH CONTROL OF WIND TURBINE BASED ON SPARROW SEARCH ALGORITHM

Sun Xinyu; Xiang Dong; Ding Wei; Zhao Kaikuo

doi:10.19912/j.0254-0096.tynxb.2022-0817

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Acta Energiae Solaris Sinica ›› 2023, Vol. 44 ›› Issue (10) : 266-274. DOI: 10.19912/j.0254-0096.tynxb.2022-0817

RESEARCH ON INDIVIDUAL PITCH CONTROL OF WIND TURBINE BASED ON SPARROW SEARCH ALGORITHM

Sun Xinyu, Xiang Dong, Ding Wei, Zhao Kaikuo

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Abstract

The integrated model of wind turbine was established through the co-simulation of FAST and Simulink, and the individual pitch PI control model was established based on the load feedback. The sparrow search algorithm was used to set PI control parameters, the optimized parameters were imported into the wind turbine model, and compared with the individual pitch controller based on particle swarm optimization algorithm and the classical collective pitch controller. The simulation results show that the individual pitch control model based on load feedback can effectively suppress the unbalanced load at the blade root. Compared with the other two controllers, the individual pitch controller established by sparrow search algorithm can significantly reduce the unbalanced load at the blade root of wind turbine. It has faster pitch angle response speed and more stable input speed, output power.

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wind power / wind turbines / PI control / individual pitch control / sparrow search algorithm

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Sun Xinyu, Xiang Dong, Ding Wei, Zhao Kaikuo. RESEARCH ON INDIVIDUAL PITCH CONTROL OF WIND TURBINE BASED ON SPARROW SEARCH ALGORITHM[J]. Acta Energiae Solaris Sinica. 2023, 44(10): 266-274 https://doi.org/10.19912/j.0254-0096.tynxb.2022-0817

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