TY - GEN
T1 - Comparison of particle swarm based meta-heuristics for the electric transmission network expansion planning problem
AU - Torres, Santiago P.
AU - Castro, Carlos A.
AU - Pringles, Rolando M.
AU - Guaman, Wilson
PY - 2011
Y1 - 2011
N2 - 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.
AB - 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.
KW - Electric Power Systems
KW - Evolutionary Particle Swarm Optimization (EPSO)
KW - Swarm Intelligence
KW - Transmission Expansion Planning
KW - Unified Particle Swarm Optimization (UPSO)
UR - https://www.scopus.com/pages/publications/82855168243
U2 - 10.1109/PES.2011.6039571
DO - 10.1109/PES.2011.6039571
M3 - Contribución a la conferencia
AN - SCOPUS:82855168243
SN - 9781457710018
T3 - IEEE Power and Energy Society General Meeting
BT - 2011 IEEE PES General Meeting
T2 - 2011 IEEE PES General Meeting: The Electrification of Transportation and the Grid of the Future
Y2 - 24 July 2011 through 28 July 2011
ER -