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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

17 Scopus citations

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.

Original languageEnglish
Title of host publicationProceedings of the 2012 6th IEEE/PES Transmission and Distribution
Subtitle of host publicationLatin America Conference and Exposition, T and D-LA 2012
DOIs
StatePublished - 2012
Externally publishedYes
Event2012 6th IEEE/PES Transmission and Distribution: Latin America Conference and Exposition, T and D-LA 2012 - Montevideo, Uruguay
Duration: 3 Sep 20125 Sep 2012

Publication series

NameProceedings of the 2012 6th IEEE/PES Transmission and Distribution: Latin America Conference and Exposition, T and D-LA 2012

Conference

Conference2012 6th IEEE/PES Transmission and Distribution: Latin America Conference and Exposition, T and D-LA 2012
Country/TerritoryUruguay
CityMontevideo
Period3/09/125/09/12

Keywords

  • DC Model
  • Electric Power Systems
  • Metaheuristic
  • Optimization
  • Parallel Processing
  • Particle Swarm
  • Transmission Expansion Planning

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