This study demonstrates enhanced frequency response in wind turbines, utilizing dynamic virtual inertia and particle swarm optimization.
To address the insufficient frequency response capability of traditional wind turbines under dynamic load variations and the significant secondary frequency drop during frequency recovery, this study proposes an auxiliary frequency control strategy for wind turbines based on dynamic virtual inertia. Firstly, an optimization model for dynamic virtual inertia control is established based on the frequency response model of wind turbine virtual inertia control. Secondly, the particle swarm optimization (PSO) algorithm is employed to determine the virtual inertia coefficient. Finally, the control strategy is formulated using the optimization results. Experimental results demonstrate that this strategy significantly enhances system frequency response capability, effectively mitigates secondary frequency drops in power grids, and ensures stable and reliable wind turbine operation.
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Yang et al. (2025) studied this question.
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