Implementation Of Particle Swarm Optimization (PSO) To Optimize Parameters Of An Island Grid In The Aim Of Improving The Frequency Stability

In order to enhance system reliability, the Particle Swarm Optimization (PSO) technique has proven to be an efficient method to fine-tune Power System Stabilizers (PSS), Battery Energy Storage Systems (BESS), and other system parameters. This research employed the PSO algorithm to determine the optimal parameters of an island microgrid in two different situations: optimizing only the PSS and simultaneously optimizing both the PSS and BESS. By evaluating the efficacy of these two scenarios in various circumstances, the authors obtained a comprehensive and accurate understanding of the system's operation. The PSO algorithm was implemented using Python and the DigSilent PowerFactory simulation software, which can be easily applied in practical settings. The time-domain simulation demonstrated the capability of the PSO-based PSS and BESS test system to dampen power system oscillations effectively.