Georeferenced Rural Distribution Network Model Considering Scalable Growth Of Users In Rural Areas

Juan Daniel Garcia Cornejo, Esteban Mauricio Inga Ortega

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

This paper presents a georeferenced optimal planning model of a rural distribution network for deploying an underground network considering a real scenario for increasing electrification in this area. A model is presented based on a heuristic process that minimizes the resources required to route the grid for a defined time horizon. Then, the model is scalable according to the population density, the established and georeferenced zone, and the specified period; that is, it adjusts to any of these variables. Additionally, the modeling is presented in CYME software, considering a series of technical criteria to provide the actual scenario with a verifiable planning model of an underground network. Therefore, the voltage drop and level of overload in transformers and feeders are considered to deliver an optimum power quality to the end-user. These results will be tabulated and presented as an alternative to different planning and design models that an electric distribution company may have to minimize the resources used in an underground deployment.
Translated title of the contributionModelo de red de distribución rural georreferenciada considerando crecimiento escalable de usuarios en áreas rurales
Original languageEnglish
Article numbere12724
Pages (from-to)1-15
JournalHeliyon
Volume9
Issue number1
DOIs
StatePublished - 10 Jan 2023

Bibliographical note

Funding Information:
This work was supported by the Smart Grid Research Group (GIREI) of Universidad Politécnica Salesiana (Project: Chargeability of the electrical distribution network considering the massive inclusion of electric vehicles), the Power Grids and Smart Cities (RECI), Salesian Institutions of Higher Education (IUS).

Publisher Copyright:
© 2023

Keywords

  • Heuristics
  • Optimization
  • Planning
  • Resources
  • Underground electrical distribution networks

CACES Knowledge Areas

  • 317A Electricity and Energy

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