Embellished Particle Swarm Optimization Algorithm for Solving Reactive Power Problem

Main Author: Lenin, Kanagasabai; Prasad V. Potluri Siddhartha Institute of Technology
Format: Article info application/pdf eJournal
Bahasa: eng
Terbitan: IAES Indonesian Section , 2017
Subjects:
Online Access: http://section.iaesonline.com/index.php/IJEEI/article/view/291
http://section.iaesonline.com/index.php/IJEEI/article/view/291/pdf
Daftar Isi:
  • This paper proposes Embellished Particle Swarm Optimization (EPSO) algorithm for solving reactive power problem .The main concept of Embellished Particle Swarm Optimization is to extend the single population PSO to the interacting multi-swarm model. Through this multi-swarm cooperative approach, diversity in the whole swarm community can be upheld. Concurrently, the swarm-to-swarm mechanism drastically speeds up the swarm community to converge to the global near optimum. In order to evaluate the performance of the proposed algorithm, it has been tested in standard IEEE 57,118 bus systems and results show that Embellished Particle Swarm Optimization (EPSO) is more efficient in reducing the Real power losses when compared to other standard reported algorithms.