Type-2 fuzzy logic PID control for efficient power balance in an AC microgrid

This study suggests the Type-2 fuzzy logic proportional-integral-derivative (T2-FLPID) control strategy, opti-mally tuned using particle swarm optimization (PSO), for exigence control and efficient power management in an AC microgrid by efficient power sharing among various components and regulating DC link voltage under operational uncertainties. Proposed control strategy is assessed relative to Type-1 FLPID (T1-FLPID), and con-ventional PI controller, both also tuned with PSO, for better appreciation of the proposition. The varying operating conditions investigated here include variations in solar irradiance, wind speed, load demand, and grid isolation scenario. Results, analyzed and showcased both qualitatively and quantitatively, indicate that the proposed T2-FLPID controller excels the other two controllers in terms effective maintenance of power balance via seamless coordination of power among various components and providing the least values of error indices and computational time.