Educational Support Using Graphical User Interfaces to a Robust Stabilizer H2-PSS Besed Genetic Algorithms study

Abstract

This paper present the realization and development of a graphical user interface (GUI) for teaching and research in to studied a genetic algorithm (GA) applied to power system stabilizer (PSS) for adapt a robust H2 controller based an advanced Frequency technique applied on automatic excitation control of powerful synchronous generators, to improve transient stability and its robustness of a single machine- infinite bus system (SMIB) .The GA is applied to solve an optimization problem and to achieve control parameters of PSS. The GUI is a useful average to facilitate stability study of power system with the analysis and synthesis of regulators, and resolution of the compromise: results precision / calculation speed .The computer simulation results obtained by developed graphical user interface (GUI) have proved the efficiency and robustness of the robust H2 adapted with a genetic algorithm, in comparison with a conventional PSS, showing stable system responses almost insensitive to large parameter variations. This robust control possesses the capability to improve its performance over time by interaction with its environment. The results proved also that good performance and more robustness in face of uncertainties (test of robustness) with the linear robust H2 controller (optimal LQG controller with Kalman Filter) adapted with a genetic algorithm in comparison with using the classical regulator PID.