Comparison of particle swarm based meta-heuristics for the electric transmission network expansion planning problem


Abstract:

The Transmission Expansion Planning (TEP) problem is considered a very complex problem due to its combinatorial and nonconvex features. Some analytical and meta-heuristic methods have been proposed to tackle it, however, it is recognized that new efficient optimization tools are still needed. Particle Swarm Optimization has been an evolving research area in the last ten years and many interesting and successful applications in a variety of complex problems have shown the potential of this technique. In this work, two state of art Particle Swarm Optimization (PSO) based algorithms, known as Unified Particle Swarm Optimization (UPSO) and Evolutionary Particle Swarm Optimization (EPSO), are used to solve the above-mentioned problem. Comparisons, detailed analysis, guidelines and particularities are shown in order to apply the PSO technique for realistic systems. Also, results are provided for test and realistic power systems. © 2011 IEEE.

Año de publicación:

2011

Keywords:

  • Transmission expansion planning
  • Electric power systems
  • Evolutionary Particle Swarm Optimization (EPSO)
  • Unified Particle Swarm Optimization (UPSO)
  • Swarm intelligence

Fuente:

googlegoogle
scopusscopus

Tipo de documento:

Conference Object

Estado:

Acceso restringido

Áreas de conocimiento:

  • Ingeniería energética
  • Optimización matemática
  • Ciencias de la computación

Áreas temáticas:

  • Ciencias de la computación