DFIG Performance Enhancement: Experimental Validation and Comparative Study of POD Integrated Control Techniques in Wind Turbine

Abstract

This study focuses on enhancing the performance of a Doubly Fed Induction Generator (DFIG) performance in wind turbine applications through comparison and assessment conducted with advanced control schemes. It employed a stator flux-oriented vector control with a conventional PI controller. Still, it exhibited various drawbacks, such as ineffective active power control, inability to handle reactive power control, and difficulty sustaining DC link and stator terminal voltage within tolerable limits during severe disturbances. To overcome these drawbacks, an integration of a Fuzzy Logic Controller (FLC) was presented by replacing the PI controller in the control scheme, enhanced active power, reactive power, and DC link voltage control, abridged fluctuations, and improved the dynamic response of the DFIG system. Despite significant improvements accomplished with the FLC, some undamped oscillations persisted during disturbances. To further enhance DFIG's performance and effectually reduce power oscillations, a Power Oscillation Damping (POD) system was integrated into the control scheme. It continuously monitored the system for power oscillations and adapted the control signals to the Rotor-Side Converter (RSC) to counteract and dampen them. It dampens power oscillations during disturbances, resulting in a highly efficient, stable, and reliable DFIG system. The effectiveness and robustness of the proposed approaches are validated using OPAL-RT for the DFIG system.