Low-Complexity Model Predictive Direct Power Control for DFIG under both Balanced and Unbalanced Grid Conditions

This paper proposes a low-complexity model predictive direct power control (LC-MPDPC) strategy for doubly fed induction generator (DFIG) under both balanced and unbalanced grid conditions. Based on the elaborated analysis of the mathematical model of DFIG, proper formulas for the LC-MPDPC strategy are obtained. A unified power compensation strategy is proposed to achieve various control targets flexibly during unbalanced grid condition. Comparative experimental studies of lookup table-based direct power control and LC-MPDPC for DFIG are conducted to validate the superior steady-state and dynamic performance of the LC-MPDPC under balanced grid condition. Furthermore, the experimental results also prove that the proposed LC-MPDPC with power compensation can satisfy different operation requirements of the DFIG system under unbalanced grid condition, and the dynamic response is satisfactory when the control target changes.