Performance Improvement of Sulselrabar System Using Single-Band Power System Stabilizer Based on Mayfly Algorithm Under Different Loading Condition

Abstract

This study proposes the application of a single-band power system stabilizer type 1A (SB-PSS1A) to enhance the damping ratio in multimachine systems. The mayfly optimization algorithm (MOA) method is employed to optimize the performance of the SB-PSS1A. The South Sulawesi, Southeast Sulawesi, and West Sulawesi regions of the Sulselrabar system are covered by the proposed control plan. To evaluate the effectiveness of the proposed controller, frequency domain analysis and time domain simulation analysis with varying load changes are presented. The accuracy of the MOA method is compared to the swarm intelligence method based on particle swarm optimization (PSO) and firefly algorithm (FA). The analysis results indicate an improvement in system stability, as demonstrated by an increased damping ratio, reduced oscillation overshoot in generator speed and minimum rotor angle, and faster settling time. By implementing SB-PSS1A on 14 generators using the MOA optimization method, a damping ratio of 0.5868 was achieved.