Study of particle swarm optimization variations applied to transmission expansion planning

Author

Barreto, Wilmer E. ; Torres, Santiago P. ; Castro, Carlos A.

fYear

2013

fDate

16-20 June 2013

Firstpage

1

Lastpage

6

Abstract

It is well known that the Transmission Expansion Planning (TEP) is a formidable combinatorial problem. Therefore more optimization techniques are needed to solve it in an efficient way. In this work the performance analysis of some Particle Swarm Optimization (PSO) versions to solve the Static Transmission Expansion Planning problem using the DC network model is carried out. The well-known Garver, IEEE 24-bus, and the Southern Brazilian equivalent 46-bus networks will be used to present the results of this research work.

Keywords

combinatorial mathematics; particle swarm optimisation; power transmission planning; DC network model; Garver IEEE 24-bus; PSO; Southern Brazilian equivalent 46-bus networks; TEP; formidable combinatorial problem; particle swarm optimization variations; static transmission expansion planning problem; Equations; Linear programming; Load flow; Mathematical model; Optimization; Particle swarm optimization; Planning; DC Model; Electric Power Systems; Meta-heuristic; Optimization; Particle Swarm Optimization; Quantum-behaved Particle Swarm; Transmission Expansion Planning;

fLanguage

English

Publisher

ieee

Conference_Titel

PowerTech (POWERTECH), 2013 IEEE Grenoble

Conference_Location

Grenoble

Type

conf

DOI

10.1109/PTC.2013.6652203

Filename

6652203