OPTIMIZATION CONTROL STRATEGY TOWARDS EFFICIENT WIND ENERGY HARVESTING FOR AIRBORNE WIND ENERGY SYSTEMS

Fu Bingzhe; Wang Wei; Luo Bixiong; Ren Zongdong; Li Yihuan; Yang Wolong

doi:10.19912/j.0254-0096.tynxb.2024-0965

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Acta Energiae Solaris Sinica ›› 2025, Vol. 46 ›› Issue (11) : 581-589. DOI: 10.19912/j.0254-0096.tynxb.2024-0965

OPTIMIZATION CONTROL STRATEGY TOWARDS EFFICIENT WIND ENERGY HARVESTING FOR AIRBORNE WIND ENERGY SYSTEMS

Fu Bingzhe¹, Wang Wei¹, Luo Bixiong², Ren Zongdong², Li Yihuan¹, Yang Wolong²

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Abstract

To achieve the optimization control of airborne wind energy systems （AWEs） that adapt to the dynamic changes of wind shear, and to accomplish efficient wind energy capture, a model predictive control （MPC） strategy based on mixed Gaussian process（MGP） is proposed. Initially, a quantitative analysis of the key factor of AWEs operation, wind shear, is conducted. MGP is utilized to model the significant statistical characteristics of the wind shear profile, providing prior wind speed information for height-optimized control. Subsequently, an adaptive MPC strategy integrated with a genetic algorithm is established to balance the optimal operation height and energy dissipation, ensuring that AWEs operates at the ideal height while reducing the energy consumed for control, thereby enhancing the net power generation of AWEs. Finally, the proposed optimization control strategy is validated based on the real wind shear data from a high-altitude wind energy generation demonstration project in China. The results indicate that the strategy can effectively increase the net power generation of AWEs, with an average increase of 18.9% compared to traditional fixed tower structures and 9.6% compared to the extremum seeking strategy.

Key words

energy harvesting / model predictive control / genetic algorithms / airborne wind energy / mixed Gaussian processes

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Fu Bingzhe, Wang Wei, Luo Bixiong, Ren Zongdong, Li Yihuan, Yang Wolong. OPTIMIZATION CONTROL STRATEGY TOWARDS EFFICIENT WIND ENERGY HARVESTING FOR AIRBORNE WIND ENERGY SYSTEMS[J]. Acta Energiae Solaris Sinica. 2025, 46(11): 581-589 https://doi.org/10.19912/j.0254-0096.tynxb.2024-0965

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