International Journal of Advanced Computing and Communication Systems

Particle Swarm Optimization with an Aging Leader and Challengers for Optimal Power Flow Problem

Dharmbir Prasad, Rudra Pratap Singh and Mukherjee V, Department of Electrical Engineering, Indian School of Mines, Dhanbad, Jharkhand, India.

International Journal of Advanced Computing and Communication Systems

Received On :

Revised On :

Accepted On :

Published On :

Volume 06, Issue 01

Page No :001-005

Abstract

This study presents an algorithm of particle swarm optimization with an aging leader and challengers (ALC-PSO) for solution of optimal power flow (OPF) problem. The algorithm determines the optimal settings of control variables to solve the OPF problem. The proposed algorithm is tested on the standard 26-bus test power system with three different objectives as (i) fuel cost minimization, (ii) active power loss minimization and (iii) sum of total voltage deviation minimization. Results obtained by ALC-PSO are compared to other optimization techniques conferred in the past state-of-the-art literature. The results confirm the superiority of ALC-PSO algorithm over other techniques regarding convergence profile and global search ability.

Keywords

Aging; leader; particle swarm optimization; optimal power flow; optimization.

Cite this Article

Dharmbir Prasad, Rudra Pratap Singh and Mukherjee V, “Particle Swarm Optimization with an Aging Leader and Challengers for Optimal Power Flow Problem, ”International Journal of Advanced Computing and Communication Systems, pp. 001-008, March 2019.

Copyright

© 2019 Dharmbir Prasad, Rudra Pratap Singh and Mukherjee V. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.