<p>The model of an AC microgrid that uses a variety of renewable energy-based power plants and energy-storing equipment is incorporated in this research work for frequency stability study. The unpredictable variation in load, solar power and wind speed largely influences the microgrid’s performance particularly in keeping the system frequency steady. The suggested study proposes a fuzzy interval type-2 tilt, integral and derivative (FIT2-TID) control approach to washout frequency variations in the microgrid under various electric disturbances. The microgrid model also incorporates the concept of virtual inertia to enhance stability in frequency under load dynamics and uncertainties. Furthermore, to obtain the ideal gains of the suggested FIT2-TID controller in the most efficient manner, a creative gradient-based algorithm (GBA) along with a suitable fitness tool is utilized in the study. A comparison of the capabilities of the proposed FIT2-TID approach with those of the conventional PID and the fundamental fuzzy PID controllers exhibits its efficacy. The results show that the suggested FIT2-TID controller outperforms the fuzzy PID and PID controllers in terms of settling time and improvement of area2 frequency deviation (Δ<i>F</i>₂), by 36.22% and 106.48%, respectively. The convergence curves and several dynamic responses prove the recommended GBA technique’s dominance over simple GA and fundamental PSO approaches. Lastly, an ideal Typhoon hardware-in-loop (T-HIL) test bench is used to assess the performance of the suggested controller and microgrid model.</p>