Distributed PSO Algorithm for Data Model Partitioning in Power Distribution Systems
This paper presents a method for data model partitioning of power distribution network. Modern DistributionManagement Systems which utilize multiprocessor systems for efficient processing of large data model areconsidered. The data model partitioning is carried out for parallelization of analytical...
| Autores: | , , , , |
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| Formato: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2014 |
| País: | México |
| Recursos: | UNIVERSIDAD NACIONAL AUTÓNOMA DE MÉXICO |
| Repositorio: | Journal of Applied Research and Technology |
| Idioma: | inglés |
| OAI Identifier: | oai:ojs2.localhost:article/174 |
| Acesso em linha: | https://jart.icat.unam.mx/index.php/jart/article/view/174 |
| Access Level: | acceso abierto |
| Palavra-chave: | Particle swarm optimization Partitioning algorithms Power distribution networks Data models |
| Resumo: | This paper presents a method for data model partitioning of power distribution network. Modern DistributionManagement Systems which utilize multiprocessor systems for efficient processing of large data model areconsidered. The data model partitioning is carried out for parallelization of analytical power calculations. The proposedalgorithms (Particle Swarm Optimization (PSO) and distributed PSO algorithms) are applied on data model describinglarge power distribution network. The experimental results of PSO and distributed PSO algorithms are presented.Distributed PSO algorithm achieves significantly better results than the basic PSO algorithm. |
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