Power System Stability Enhancement Based Optimized PID controller using Archimedes optimization algorithm

power system always suffering from sudden changes which affect power system stability. In this study, a single machine infinite bus (SMIB) power system based nonlinear model has been studied with and without optimized power system stabilized (PSS). A new metaheuristic algorithm inspired from physics lows named Archimedes optimization algorithm (AOA) has been used to tune parameters of PSS based proportional integral derivative (PSS-PID) controller. Two types of disturbances have been simulated to measure the efficiency of the proposed techniques, electrical three phase short circuit fault at generator terminals and a mechanical disturbance on the rotor shaft. The SMIB based optimized PSS-PID provides a stable system with lower oscillation and fast response. AOA greatly improve the characteristics of the system under study compared to manually tune optimized PSS-PID controller.