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 contribution | Modelo de red de distribución rural georreferenciada considerando crecimiento escalable de usuarios en áreas rurales |
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Original language | English |
Article number | e12724 |
Pages (from-to) | 1-15 |
Journal | Heliyon |
Volume | 9 |
Issue number | 1 |
DOIs | |
State | Published - 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