Facilitated model predictive power control of DFIG driven by NNPC inverter for wind energy system

Abstract

This study introduces a novel model predictive control approach designed for a four-level Nested Neutral Point Clamped inverter interfaced with a doubly fed induction generator. A simplified model utilizing stator voltage orientation is employed to accurately track the active and reactive power references of the generator, maintain the voltage equilibrium of the flying capacitors and reduce the frequency of the commutation. A comprehensive comparative analysis is performed in Matlab/Simulink to evaluate the conventional and previous methods against the suggested approach, thereby validating the viability of the advanced strategy. Simulation outcomes show that the offered approach offers superior dynamic and static control performance, especially regarding transient response time, total harmonic distortion of the stator current, root mean square error of power ripple, and fluctuations in flying capacitor voltages. The application of the C2000 microcontroller TMS320F28379D within a hardware-in-the-loop framework confirms the practical applicability of the suggested control strategy.