Improved sine-cosine algorithm-based power system stability under different fault conditions

Abstract

This study examines power system stability through the application of the improved sine cosine algorithm (ISCA). To minimize the oscillation of the system, two damping controllers have been used, the first one is power system stabilizer (PSS) and second one is static synchronous series compensator (SSSC). A single machine infinite bus (SMIB) is implemented to analyze the stability performance. The various parameters of PSS and SSSC have been tuned with the use of the ISCA approach, which improves the system performance. The main aim of this work is to reduce the speed deviation of rotor. A comparative analysis has been carried out with traditional sine cosine algorithm (SCA) on performance basis. The fitness value (ITAE) of SCA and ISCA are found to be 0.0018573 and 0.0018518 respectively. The SMIB system is tested with different loading such as nominal loading (NL), light loading (LL), heavy loading (HL) condition. To check the robustness of the proposed system, various faults (LLLG fault, LLG fault, LL fault, LG fault) has been applied to the system and results are compared with ISCA optimized controller.