A decision-making tool for electric distribution network planning based on heuristics and georeferenced data

Alex Valenzuela, Iván Montalvo, Esteban Inga

Research output: Contribution to journalArticlepeer-review

20 Scopus citations


Designing and planning of electrical distribution systems is a task that design engineers perform during their daily activities. These designs, which are completed manually, are made according to the expertise of the designer; as a consequence, the obtained product varies depending on the person in charge of executing the layout, highlighting the fact that those designs are susceptible to involuntary human mistakes resulting in no optimal solutions and high cost consequences. The work presented below explains the implementation of an intelligent decision tool that allows the design of network distribution system planning considering the current electrical company standards, in order to have a clear and quick initial overview of the configuration that an electricity network should have in response to an increasing demand, considering not only the coverage and capacity of the transformers but also voltage drop along the conductors, which must not exceed 3% of the nominal value. The objective of this design tool is that it can be applicable in real scenarios; for this reason, the routing of the conductors and the location of the transformers are based on a georeferenced map. It is important to mention that the optimization problem is focused on minimizing the amount of transformers and at the same time ensuring a total coverge of 100% end users connected to the grid. This tool would be very useful in the educational and practical fields, since private and public electricity companies could use it to obtain a quick and efficient base product on which they could start to develop expansion and planning of distribution networks. The concept and development of such a tool is the subject of this paper.

Original languageEnglish
Article number4065
Pages (from-to)4065
Issue number21
StatePublished - 25 Oct 2019

Bibliographical note

Funding Information:
Funding: This work was supported by Universidad Politécnica Salesiana and GIREI–Smart Grid Research Group under the project Automatic Protection Coordination on Power Systems Under Extreme Events.

Publisher Copyright:
© 2019 by the authors.


  • Decision-making tool
  • Distribution network extension
  • Low voltage grids
  • MST techniques
  • Routing
  • routing
  • distribution network extension
  • decision
  • low voltage grids
  • making tool


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