Power Factor Improvement in IEEE-33 Radial Distribution Systems using Fruit Fly Algorithm Compared with Bat Algorithm by Optimizing the DG Size

Power factor improvement in Radial Distribution Systems (RDS) is done by placing Distributed Generation (DG) in the best possible location, this study compares two optimization algorithms: the innovative Fruit Fly Algorithm (FFA) and the Bat Algorithm (BA). Materials and Methods: To ascertain the ideal location and size of distributed generators (DGs) inside radial distribution power networks, the Fruit Fly Algorithm and Bat Algorithm are utilized. With a power level of 0.8, the sample size of 14 samples was determined using G*Power for two groups. Results: Based on the data, FFA performs better than BA at raising the Power Factor. The computed significance value of 0.941 (p>0.05) suggests that the difference is not statistically significant. Conclusion: The FFA-based optimization strategy outperforms the BA-based method (0.9089) in terms of Power Factor improvement (0.9132).