In recent years, the decarbonization of electricity generation has driven a rapid integration of renewable energy sources connected to the grid through power converters. In this context, transient stability studies have gained critical importance, as ensuring the resilience of power systems with high penetration of inverter-based resources is essential to prevent large-scale blackouts, such as the one experienced in the Iberian Peninsula in April 2025. Among renewable technologies, wind power has emerged as a backbone of the energy transition, with global installed capacity growing by 225.5% over the last decade, reaching an estimated 1.32 TW by the end of 2025.

Against this backdrop, generic wind turbine (WT) models defined by the IEC 61400-27 Standard have become increasingly relevant, enabling the simulation of any WT regardless of its technology or manufacturer. However, their practical utility depends critically on accurate parameter sets, since manufacturers rarely disclose turbine-specific parameters. Moreover, parametrization is typically carried out using closed-source commercial tools with significant computational limitations, hindering the widespread adoption of IEC 61400-27-based models in large-scale studies.

To address these limitations, this paper presents a full-converter generic WT model compliant with IEC 61400-27, implemented in the Julia programming language. The parametrization study focuses on the active and reactive power control modules, which govern the most critical aspects of WT dynamic behaviour during grid disturbances. The same model is implemented in parallel in MATLAB/Simulink and DIgSILENT PowerFactory, and a comparative evaluation of accuracy and computational efficiency is conducted across all three platforms. Results demonstrate that the Julia implementation not only reproduces but outperforms both commercial tools in terms of parametrization accuracy, while achieving computational speed improvements of up to one order of magnitude. This combination of superior accuracy and high computational efficiency positions Julia as a particularly compelling open-source alternative for large-scale parametrization workflows, sensitivity analyses, and iterative tuning processes that are computationally prohibitive in traditional commercial environments.

These findings provide both WT manufacturers and the academic community with a high-performance, open-source framework for the simulation and parametrization of generic IEC 61400-27 WT models.