Application of Interval Type-2 Fuzzy PID Controller for Frequency Regulation of AC Islanded Microgrid Using Modified Equilibrium Optimization Algorithm

Abstract

The questionable generation of solar power, wind sources and load demand makes AC microgrids increasingly complicated and presents the frequency oscillations. It is profoundly expected to build up power balance among generation and load demand by planning a suitable controller for frequency oscillations. Thus, in this research article, a novel approach is proposed by considering a modified equilibrium optimization algorithm (MEO) Algorithm-based Interval Type-2 Fuzzy proportional integral derivative Controller (IT2FPID) structure for the frequency control of an AC microgrid. The performance of the modified algorithm is tested by comparing it with the standard EO algorithm by considering various standard benchmark test functions. Further, the genuine utilization of the MEO algorithm is tried by planning an IT2FPID controller for frequency regulation of an AC microgrid. The supremacy of the MEO-based IT2FPID controller is introduced by comparing its outcomes with MEO-based Type-1 FPID, conventional PID, EO-based PID controller and observed that the proposed MEO-based IT2FPID controller is more effective.