Volume 11 - Volume 11
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.
Paper Details
PaperID: 2169
Author's Name: R. Sanjay Kumar and Dr.N. Anbuselvan
Volume: Volume 11
Issues: Volume 11
Keywords: Fruit Fly (FFA), Cat Swarm (CSA), Power Loss, Novel Optimization Technique, Artificial Intelligence.
Year: 2021
Month: June
Pages: 1070-1083