Oppositional artificial rabbit optimization for the optimal tunning of single input power system stabilizer

The methodology of Oppositional Artificial Rabbit Optimization (OARO) has been effectively applied in this study to a single input power system stabilizer for the most effective tuning to lessen volatility at low frequencies. A single machine infinite bus (SMIB) system has been used to test the suggested algorithm’s efficacy using the Heffron-Phillips framework. To assert the relevance of OARO in an adaptable situation, the implementation of the suggested method is tested for a wide loading environment. The novelity and superiority of the present work has been validated by comparing the result with other work.