Publication

Abstract :

This research assignment intends a novel Type-II Fuzzy-tilt, integral and derivative (Type-II Fuzzy-TID) control method for frequency monitoring of an islanded AC Microgrid. The primary goal is to maintain the stability in grid frequency despite uncertainties in the system's damping and inertia, which are mostly brought on by the influx of renewable energy sources. The concept of virtual inertia (VI) serves as the foundation for the technique used to achieve this goal. The creation of an automated tie-line power scheduling in the two-area microgrid is the second goal. To concurrently accomplish these goals, the proposed Type-II Fuzzy-TID controller is modelled optimally with suggesting an improved Smell-agent optimizer (i-SAO) under several operating scenarios. By using the suggested approach, the errors occurred in microgrid frequency and tie-line power are reduced drastically in addition to offsetting the negative effects of uncertainties and disruptions. The results of the simulation demonstrate that, the suggested Type-II Fuzzy-TID control strategy can provide strong stability and performance and could able to improve the settling time area1 frequency deviation (ΔF1) by 63.1%, 123.68% while compared to conventional Fuzzy PID controller and standard PID controller.