An advanced PID-PSS based genetic algorithms implemented using GUI - MATLAB

Power System Stabilizer (PSS) is a supplementary control signal of a generator´s excitation system based on Automatic Voltage Regulator (AVR), are now routinely used in t.he industry to damp out power system oscillations. Optimal tuning gain of AVR - PSS is necessary for satisfactory performance of power system. Genetic algorithms (GA) have been widely used for global optimization problems. This paper presents a systematic approach for designing and optimal tuning an advanced Russian AVR-PSS gains, realized on PID-schemes (called AVR-SA), to improve the effectiveness and investigates its robustness under uncertainly constraints on a SMIB system, using Genetic Algorithms. The proposed approach employs GA search for optimal setting of AVR-PSS parameters. The performance of the proposed GA-PSS under small and large disturbances, loading conditions and system parameters variations are tested. The simulation results have proved that GA are powerful tools for optimizing the AVR-PSS parameters, and obtained more robustness of the studied power system. This present work was performed and simulated using our graphical interface `GUI´ realized under MATLAB.