FCS-MPC based Predictive Current Control of Grid Connected DFIG based Wind Energy System

Abstract

The continuous improvement of wind power conversion (WPC) systems, particularly doubly fed induction generator-oriented WPC (DFIG-WPC) system, require optimized generator control to inject power into the grid. Conventional techniques for controlling DFIG are based on mathematical models these methods gives poor and inaccurate control performance, rely on the pulse width modulation methodology and employ internal control loops. To address this issues, this study investigates the applicability of model predictive control for doubly-fed induction generators. In the domain of electric drive control, finite control set model predictive control, commonly known as FCSMP control, is swiftly becoming the control method of choice due to its uncomplicated architecture. This study investigates the behavior of finite control set model predictive (FCSMP) control on DFIG control. To achieve this, the DFIG discrete-time model is required for predicting potential future levels of rotor current for each possible voltage vector that may be supplied to the rotor-side power electronic converter (RSPEC). To test the effectiveness of the FCSMP, the disturbance at steady state, dynamic responsiveness, and smoothness of the stator and rotor currents were evaluated in the MATLAB / Simulink environment. Compared with the field-oriented control (FOC) method, the FCSMP control shows superior outcomes in aspects of steady-state ripple and dynamic performance.