This research focuses on the critical challenge of output power-levelling in Wind Energy Conversion Systems (WECS), specifically addressing the application of Doubly-fed Induction Generators (DFIG). In the context of the global transition toward renewable energy, the optimization of wind energy systems is paramount to ensuring efficiency and reliability. The significance of this research lies in its direct impact on the operational stability and performance of DFIG-based wind turbines, a technology extensively utilized in modern wind farms. Power fluctuations, particularly in varying wind conditions, pose a significant obstacle to the seamless integration of wind energy into the power grid. The primary objective of this research is to provide a comprehensive understanding of the control system of DFIG wind turbines, with a specific focus on its capabilities during fault conditions, namely voltage dips. The investigation employs a dual approach, combining theoretical modelling and simulation models to analyse and understand the normal operation of DFIG systems. The simulation model, with an emphasis on the wind turbine model, serves as a powerful tool for comprehending the intricacies of the system under steady-state conditions. Theoretical models establish a foundational understanding of the DFIG system's behaviour during normal operation, offering insights into the interplay of various components, such as power converters and control systems. Simulation models, on the other hand, provide a visual representation of the DFIG system's behaviour, particularly the wind turbine model, enabling a dynamic exploration of the system under normal operating conditions. The visualization of signals and behaviours during steady-state conditions serves as a crucial reference point for further analysis. This understanding becomes pivotal when examining the system's response during voltage sags and other operational circumstances. This research not only contributes to addressing the challenge of output power-levelling in DFIG-based wind turbines but also enhances our understanding of their behaviour under varying conditions. The combination of theoretical insights and simulation results provides a comprehensive framework for optimizing the control systems of DFIG wind turbines, ultimately contributing to the reliability and stability of wind energy systems in the broader context of renewable energy integration.