ADAPTIVE VIRTUAL INERTIA CONTROL FOR SUPER-LARGE WIND TURBINES BASED ON DYNAMIC FREQUENCY REGULATION POTENTIAL COEFFICIENT

Han Zhang; Tian De; Lin Zhongwei; Meng Huiwen; Liu Huiyuan

doi:10.19912/j.0254-0096.tynxb.2025-0442

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Acta Energiae Solaris Sinica ›› 2026, Vol. 47 ›› Issue (4) : 432-437. DOI: 10.19912/j.0254-0096.tynxb.2025-0442

ADAPTIVE VIRTUAL INERTIA CONTROL FOR SUPER-LARGE WIND TURBINES BASED ON DYNAMIC FREQUENCY REGULATION POTENTIAL COEFFICIENT

Han Zhang, Tian De, Lin Zhongwei, Meng Huiwen, Liu Huiyuan

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Abstract

To address the dynamic operational constraints limiting frequency modulation capabilities in super-large wind turbines,this study proposes a Dynamic Frequency Modulation Potential Coefficient-based Adaptive Virtual Inertia Control （FPC-AVIC）.Using the IEA 15 MW direct-drive wind turbine as a case study,we establish a quantitative evaluation framework for rotor kinetic energy's frequency regulation capacity while elucidating the dynamic coupling mechanism between rotor kinetic energy and converter capacity.Through the introduction of a dynamic frequency modulation potential coefficient,the real-time boundary of frequency modulation capability is systematically quantified, enabling the development of an adaptive control framework that dynamically adjusts frequency regulation contribution intensity. Additionally, an exponential speed recovery strategy is formulated to mitigate power transients during the speed restoration phase. Simulation results demonstrate that compared with PD virtual inertia control,the proposed FPC-AVIC elevates the secondary frequency dip nadir from 49.50 Hz to 49.64 Hz.When integrated with the exponential recovery strategy, the system achieves smooth power/speed transitions and eliminates observable secondary frequency drops during grid recovery processes.

Key words

wind turbines / primary frequency regulation / virtual inertia control / adaptive control / secondary frequency drop / frequency regulation capability / rotational speed recovery

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Han Zhang, Tian De, Lin Zhongwei, Meng Huiwen, Liu Huiyuan. ADAPTIVE VIRTUAL INERTIA CONTROL FOR SUPER-LARGE WIND TURBINES BASED ON DYNAMIC FREQUENCY REGULATION POTENTIAL COEFFICIENT[J]. Acta Energiae Solaris Sinica. 2026, 47(4): 432-437 https://doi.org/10.19912/j.0254-0096.tynxb.2025-0442

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