Despliegue óptimo de redes de distribución eléctricas soterradas usando métodos metaheurísticos y simulación
This document presents a planning model that allows optimizing the deployment of underground electrification networks for distribution considering the number of users simultaneously connected to a transformer. We present a model based on a heuristic process that seeks to reduce costs by using the re...
| Autor Principal: | Santacruz Carcelén, Ermel Giovanny |
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| Formato: | bachelorThesis |
| Idioma: | spa |
| Publicado: |
Universidad Politécnica Salesiana. Carrera de Ingeniería Eléctrica. Sede Quito
2018
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| Materias: | |
| Acceso en línea: |
Santacruz Carcelén, E. G. (2018). Despliegue óptimo de redes de distribución eléctricas soterradas usando métodos metaheurísticos y simulación. Universidad Politécnica Salesiana. Carrera de Ingeniería Eléctrica. Sede Quito |
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| Sumario: |
This document presents a planning model that allows optimizing the deployment of underground electrification networks for distribution considering the number of users simultaneously connected to a transformer. We present a model based on a heuristic process that seeks to reduce costs by using the resources required for a minimum cost routing on a geo-referenced scenario. The model is scalable because it allows the population density of the studied georeferenced area to be varied, that is, it adjusts to the use of resources required for different population quantities. Additionally, a simulation process is presented, articulated to the planning model using the Cymdist software, contemplating elements of a real underground electrification network, in order to verify voltage problems, failures, overloads, etc. The obtained results allow to quickly diagnose the possible deployment and routing options of underground networks for distribution, warning to decrease the times for deployment of new networks, in addition the work successfully explores the optimality principle and makes the heuristic process computationally useful. Finally, the proposal provides a road map with a view to the optimal planning of underground electrification networks for distribution. |
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