RESEARCH ON WIND TURBINE MODELING BASED ON DIGITAL TWIN TECHNOLOGY

Shang Haiyong; Liu Liqiang; Qi Yongsheng; Li Yongting

doi:10.19912/j.0254-0096.tynxb.2021-1618

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Acta Energiae Solaris Sinica ›› 2023, Vol. 44 ›› Issue (5) : 391-400. DOI: 10.19912/j.0254-0096.tynxb.2021-1618

RESEARCH ON WIND TURBINE MODELING BASED ON DIGITAL TWIN TECHNOLOGY

Shang Haiyong^1,2, Liu Liqiang^1,2, Qi Yongsheng^1,2, Li Yongting^1,2

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Abstract

In response to the problem that the previous digital twin modeling of the wind turbine is limited by different research purposes or the function of a single software, which makes it challenging to establish the whole model of the wind turbine, a new wind turbine twin modeling method is proposed. The method first relies on the FAST wind performance module to build the steady-state and the random turbulent wind model, the real-time wind speed model of wind farms. Then the aerodynamics module and the structural dynamics module are used to build the geometric and dynamics models of critical components such as wind turbine blade and towers respectively. Finally, the wind turbine electrical system model and control strategy were built in Simulink, which resulted in a complete twin model of the wind turbine. The twin modeling approach was validated for WindPACT 1.5 MW doubly-fed wind turbine and Fuhrländer 2.5 MW doubly-fed wind turbine at a wind farm, and the results showed that the twin model has a high accuracy of all essential production parameters compared to the design standard and actual operation data under different wind speed models. In addition, the feasibility and validity of the twin model were further demonstrated by real-time simulation of the wind turbine digital twin system and twin simulation of the unmeasurable data in the field.

Key words

wind turbines / digital twin / twin modeling / accuracy / real-time simulation / twin simulation

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Shang Haiyong, Liu Liqiang, Qi Yongsheng, Li Yongting. RESEARCH ON WIND TURBINE MODELING BASED ON DIGITAL TWIN TECHNOLOGY[J]. Acta Energiae Solaris Sinica. 2023, 44(5): 391-400 https://doi.org/10.19912/j.0254-0096.tynxb.2021-1618

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