Intelligent Frequency Control Mechanism of Renewable Shared Interconnected Power System with Communication Delay

This paper introduces a fuzzy logic-based intelligent frequency control approach for renewable-dominated time-delayed interconnected power systems (IPS). A two-area IPS model including solar, wind, thermal and gas power generators with hydrogen-based energy storage systems is designed. A time delay (TD) of 2 seconds is considered in both areas as well as all the physical constraints and nonlinearities like valve limit, dead bands and rate constraints are also considered in the designing of the plant. A fuzzy logic-driven proportional derivative plus integral (F-PD+I) controller is designed for the load frequency control (LFC) of considered IPS. To select the optimal solution for the proposed F-PD+I controller, a physics-inspired optimization called gradient-based optimizer (GBO) is proposed. The effectiveness of the proposed control scheme is tested over random load variations and the results reveal the superior performance of the F-PD+I controller over PI and PID controllers.