DE-Based Design of an Intelligent and Conventional Hybrid Control System with IPFC for AGC of Interconnected Power System

In this study, a fuzzy proportional integral derivative controller (FPID) was adjusted using the differential evolution (DE) method to enhance automated generation control (AGC) of three-zone reheat-type power system. The objective function used in study an time-weighted absolute error (ITAE). optimization, gain parameters (PI), (I), and FPID were optimized compared improve limitations drawn by over few parameters. To demonstrate that controllers with IPFC produce better more accurate optimization results than PI DE, interline flow (IPFC) flexible AC transmission system (FACTS) device suitable connections parameter used. Also, particle swarm (PSO) PID proposed DEFPID + IPFC, achieved DE technique. Similarly, suggested technology’s strong capacity, random load changes applied various conditions, it demonstrated unit easily tolerated perturbations returned stable functioning state.