INTERNATIONAL JOURNAL FOR INNOVATIVE RESEARCH IN MULTIDISCIPLINARY FIELD

Abstract : The growing penetration of renewable sources of energy into distributed energy networks presents formidable challenges to frequency control due to embedded uncertainties and randomness. Conventional PID controllers lose the stability of the system under such dynamic conditions. Adaptive Type-2 Fractional Order Fuzzy PID (T2FFOPID) Controller for efficient frequency control in distributed energy networks. The proposed controller combines fractional calculus and type-2 fuzzy logic to improve robustness, flexibility, and dynamic response. Metaheuristic -based optimization methods are employed to find optimal values of the controller parameters for optimal response. The performance of the proposed T2FFOPID controller compared to conventional PID and type-1 fuzzy controllers in frequency deviation suppression. Results show that the proposed method significantly enhances frequency stability, minimizes overshoot, and improves robustness against load disturbances and renewable variability. This work presents a new contribution to intelligent control strategies for renewable-integrated power systems and thus to the development of stable and reliable distributed energy networks.