With the increasing penetration of wind power, large-scale integrated wind turbine brings stability and security risks to the power grid.For the aggregated modeling of large wind farms, it is crucial to consider low voltage ride-through (LVRT) characteristics.However, in aggregation methods, the approximate neglect behavior is essential, which leads to inevitable errors in the aggregation process.
Moreover, the lack Military UAV of parameters in practice brings new challenges to the modeling of a wind farm.To address these issues, a novel cyber-physical modeling method is proposed.This method not only overcomes the aggregation problem under the black-box wind farm but also accurately realizes the aggregation error fitting according to the operation data.
The simulation results reveal that the proposed method can accurately simulate Mushroom Drinks the dynamic behaviors of the wind farm in various scenarios, whether in LVRT mode or normal mode.