New multi-level DTC based on fuzzy logic approach for torque ripples mitigation of grid-connected DFIG
摘要
This paper presents an effective solution for ripples mitigation and reliability improvement of wind energy conversion system (WECS) based on doubly fed induction generator (DFIG) controlled by direct torque control (DTC). In this context, fuzzy logic controller (FLC) is used instead of hysteresis controllers and conventional switching table in DTC control. Furthermore, the DFIG is powered by a three-level (3L) neutral point clamped (NPC) inverter. The proposed structure provides many advantages related to the intelligent fuzzy logic approach and the multi-level structure. This last one provides high degree of freedom in flux and torque control. Nevertheless, it increases switching losses. The use of a fuzzy switching table ensures intelligent, flexible control, minimizing flux and torque ripples and improving stator current shape. Moreover, applying a fuzzy on three-level NPC inverter reduces switching losses by lowering the semiconductor switching frequency. The proposed three-level fuzzy DTC (3L-FDTC) is tested using MATLAB/Simulink software for stepped, random and turbulent wind speeds. In addition, it is compared with other control techniques in the three DFIG operating modes (sub-synchronous, synchronous, super-synchronous). The simulation results showed the superiority of the 3L-FDTC and its effectiveness over the compared techniques. The average improvement in rotor flux and electromagnetic torque ripples are, respectively, (91.7% and 90.4%) compared to 2L-CDTC technique, (90.6% and 79.4%) compared to 3L-CDTC technique and (51.6% and 43.8%) compared to 2L-FDTC technique. In addition, the simulation results demonstrate less switching variation with the proposed control structure (3L-FDTC), which extends the semiconductor lifetime and WECS reliability.