Power Factor Improvement of Wind based DGs in the Distribution System Using (Fruit Fly and Cat Swarm) Optimization Techniques by Reducing the Harmonics

Abstract

Aim -This work involves a comparative analysis on two types of sizing algorithm to improve the power factor in the distribution system by reducing the harmonics. Materials & Methods -Fruit fly (FFA) and cat swarm (CSA) algorithm are implemented to analyze the power factor improvement under varying insolation conditions. Results -Based on the results obtained, the Fruit fly algorithm gives the innovative power factor of 0.89 with minimum power loss while the cat swarm algorithm gives the power factor value of 0.81 with high power loss. Conclusion -Fruit fly algorithm provides better power factor compared to cat swarm algorithm for the selected data set by Novel optimization technique.