Two dimensional particle swarm optimization algorithm for load flow analysis

DOI

10.1080/18756891.2014.963973How to use a DOI?

Keywords

Particle swarm optimization, load flow analysis, distribution system, power flows

Abstract

Methods generally used for load flow analysis have been found to be time consuming and complex. This paper presents an optimization algorithm for load flow analysis inspired from swarm optimization techniques. Particle swarm optimization (PSO) is a type of swarm intelligence that is based on social-psychological principles and provides insights into social behavior, as well as contributes to engineering applications. This algorithm optimizes the power flows on different branches of network using the particles memory based algorithm. The feasibility of the concept has been proved by performing simulations in ETAP environment.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - JOUR
AU  - Shabana Mehfuz
AU  - Sumit Kumar
PY  - 2014
DA  - 2014/12/01
TI  - Two dimensional particle swarm optimization algorithm for load flow analysis
JO  - International Journal of Computational Intelligence Systems
SP  - 1074
EP  - 1082
VL  - 7
IS  - 6
SN  - 1875-6883
UR  - https://doi.org/10.1080/18756891.2014.963973
DO  - 10.1080/18756891.2014.963973
ID  - Mehfuz2014
ER  -