Control of DFIG based wind turbines connected to imbalanced Bipolar DC microgrid’s terminals

This paper proposes an enhanced control of DC wind systems connected to imbalanced bipolar DC microgrid. Two wind systems are considered each one is connected to a different bipolar DC microgrid terminal and exposed to dissimilar wind speed profile. The studied DC wind systems are based on doubly fed induction generator. Each one includes two voltage source converters, a rotor side converter controlled to ensure Maximum Power Point Tracking via a predictive algorithm, and a stator side converter controlled to ensure equilibrate three-phase voltage in the stator side, also via a predictive algorithm. Simulations are carried out via PSIM software to validate the effectiveness of the proposed control on reducing the effect of the BDCMG imbalance on DC wind turbine efficiency.