PSO techniques for optimal power flow. Parameters tuning by mathematical test functions

Author

Cristian, Dan ; Simo, A. ; Barbulescu, C. ; Kilyeni, St ; Solomonesc, Florin ; Cornoiu, Marius

Author_Institution

Power Syst. Dept., “Politeh.” Univ. of Timisoara, Timisoara, Romania

fYear

2013

fDate

16-20 June 2013

Firstpage

1

Lastpage

6

Abstract

The paper is focusing on Particle Swarm Optimization (PSO) algorithm. Several variants of the PSO algorithm are studied. To evaluate their performances a software tool has been developed in Matlab environment. Three reference mathematical test functions have been used for this purpose. This paper represents a necessary step requested by the optimal power flow (OPF) computing approach. Currently the authors are focusing on developing a PSO based OPF computing algorithm. The most suitable PSO algorithm variant is provided based on the analyses within the current paper.

Keywords

load flow; particle swarm optimisation; power engineering computing; software tools; Matlab environment; OPF computing algorithm; PSO technique; mathematical test function; optimal power flow; parameter tuning; particle swarm optimization; software tool; Aerospace electronics; Algorithm design and analysis; Load flow; Particle swarm optimization; Software algorithms; Software tools; Standards; mathematical test functions; optimal power flow; particle swarm optimization; unified version;

fLanguage

English

Publisher

ieee

Conference_Titel

PowerTech (POWERTECH), 2013 IEEE Grenoble

Conference_Location

Grenoble

Type

conf

DOI

10.1109/PTC.2013.6652258

Filename

6652258