Parallel particle swarm optimization applied to the static Transmission Expansion Planning problem

Author

Torres, S.P. ; Castro, C.A.

Author_Institution

Univ. of Campinas (UNICAMP), Campinas, Brazil

fYear

2012

fDate

3-5 Sept. 2012

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 it is proposed a parallel implementation of the Local Particle Swarm Optimization (LPSO) version to solve the Static Transmission Expansion Planning problem using the DC network model. The well-known Garver and IEEE 24-bus networks are used to present the results of this new approach.

Keywords

combinatorial mathematics; particle swarm optimisation; power transmission planning; Garver; IEEE 24-bus networks; LPSO version; TEP; formidable combinatorial problem; local particle swarm optimization version; parallel particle swarm optimization; static transmission expansion planning problem; transmission expansion planning; Load flow; Mathematical model; Optimization; Parallel processing; Particle swarm optimization; Planning; DC Model; Electric Power Systems; Metaheuristic; Optimization; Parallel Processing; Particle Swarm; Transmission Expansion Planning;

fLanguage

English

Publisher

ieee

Conference_Titel

Transmission and Distribution: Latin America Conference and Exposition (T&D-LA), 2012 Sixth IEEE/PES

Conference_Location

Montevideo

Print_ISBN

978-1-4673-2672-8

Type

conf

DOI

10.1109/TDC-LA.2012.6319053

Filename

6319053