Automatic Generation Control of Simplified Egyptian Power System Using Fractional Order PI Controller Based on PSO

Abstract

In this Paper, Fraction Order (FO) PI controller is tested in order to find the optimized gains for Automatic Generation Control (AGC) controller by Particle Swarm Optimization (PSO) algorithm to represent the Simplified Egyptian Power System (SEPS) to achieve the development of power grid for the sustainable growth of Egypt. The mission of AGC is to return primary frequency regulation capability, bring back the frequency to its predefined set point in addition to reduce power fluctuation due to unplanned tie-line power flows among nearby control zones. The suggested controller is built using actual statistical records of SEPS for minimum and maximum loading situations of the SEPS in Winter and Summer of 2019-2020. The strength of the proposed controller is illustrated by implement the suggested controller and verify the outcomes of trip of the biggest generation unit in this Simplified Egyptian Power System (SEPS) on the grid frequency. The gains of fractional order FO-PI controller parameters such as proportional, integral, order of integrator (λ) are elevated by different Particle Swarm Optimization (PSO) and compared with another conventional supplementary Proportional Integral (PI) based on PSO also. The results display that the suggested FO-PI controller-built on PSO provides finest dynamic performance for a step load variation. The used software for gaining the results is MATLAB-Simulink.