Model predictive and fuzzy logic-based flywheel system for efficient power control in microgrids with six-phase renewable energy integration and unequal power sharing

This paper investigates the potential integration of intermittent renewable energy sources into grid-connected microgrids using a six-phase machine-based flywheel energy storage system. An important aspect considered is the need for unequal power distribution among different stator winding sets. The proposed system employs a flywheel-driven six-phase machine to deliver levelized grid power through one three-phase winding set, while the intermittent renewable energy source is injected to the other winding set. Additionally, a novel control strategy is introduced, specifically designed for speed mode operation while autonomously managing the active power contributions of microgrids. The implementation includes a Fuzzy logic-based power supervisor and a model predictive current controller to efficiently regulate power flow among different sets. Validation of the proposed controller is carried out through simulation with a large-scale 200Hp six-phase system and experimental assessments using a laboratory-scale 1.5Hp system under various conditions, demonstrating its effectiveness and reliability.