Intelligent frequency control in AC microgrids using fuzzy logic

Dispersed generation resources in a microgrid are equipped with power electronics technologies including high-frequency AC systems (e.g., microturbines) and DC (e.g., solar panels and fuel cells). By enhancing the frequency controller and implementing a novel method, this paper seeks to reduce the microgrid frequency deviation in the dynamic mode. The proposed controller is intended for use in a renewable-energy microgrid. According to the strategy, fuzzy logic is used to adjust the proposed control coefficients at any time, and the group search optimizer (GSO) algorithm is employed to optimize them. The controller parameters are optimized to account for the uncertainty of some microgrid component parameters to improve the robust controller's performance. The key idea behind this proposed control strategy is to combine the capabilities of fuzzy logic with the proposed method to reduce control operations and achieve optimal fuzzy control in the transient mode to ensure resilient microgrid frequency control performance. The Fuzzy-PI-GSO frequency controller outperforms the standard Fuzzy-PI and PI frequency controllers in simulations with various disturbances.