Simulation of Synchronous Machine in Stability Study for Power System: Garri Station as a Case Study

Abstract

This paper aimed to investigate the effectiveness of an adaptive artificial intelligence on enhancing the stability of gas turbine-Garri Power Station, which is designed to generate about 38MW. Fuzzy logic method controller was proposed based on stabilizer to enhance the power system stability. Linguistic rules and fuzzy inference mechanism are utilized to tune the controller parameters in different operating states. The proposed controller was applied to a single machine infinite bus system, represented by Gas Turbine-Garri Power Station (GPS). Simulation studies have been carried out using TILLSHELL software. The simulation results demonstrated that the proposed control scheme performs well and strongly control the power system under different loading conditions, disturbances and system parameter variations. The proposed controller is robust and more suitable for damping of low frequency oscillation and more effective in improving dynamic stability and voltage profile than the conventional systems.