Optimal performance and modeling of wireless technology enabling smart electric metering systems including microgrids

Carlos Suárez, Esteban Inga

Research output: Contribution to journalArticlepeer-review

Abstract

This work is focused on the performance analysis and optimal routing of wireless technology for intelligent energy metering, considering the inclusion of micro grids. For the study, a geo-referenced scenario has been taken into account, which will form the structure of a graph to be solved using heuristic-based algorithms. In the first instance, the candidate site of the world geography to perform the case study is established, followed by deploying infrastructure devices and determining variables and parameters. Then, the model configuration is programmed, taking into account that a set of nodes and vertices is established for proper routing, resulting in a preliminary wireless network topology. Finally, from a set of restrictions, a determination of users connected to the concentrator and optimal routing is performed. This procedure is treated as a coverage set problem. Consequently, to establish the network parameters, two restrictions are specifically considered, capacity and range; thus, can be determined the best technology to adapt to the location. Finally, a verification of the resulting network topologies and the performance of the infrastructure is done by simulating the wireless network. With the model created, scenarios are tested, and it is verified that the optimization model demonstrates its effectiveness.

Original languageEnglish
Article number7208
JournalSensors
Volume21
Issue number21
DOIs
StatePublished - 1 Nov 2021

Bibliographical note

Funding Information:
Acknowledgments: This work was financially funded by the Smart Grid Research Group (GIREI), and Telecommunications Group (GITEL) of Universidad Politécnica Salesiana, and the Power Grids and Smart Cities (RECI), Salesian Institutions of Higher Education (IUS).

Funding Information:
Funding: This work was supported by Universidad Politécnica Salesiana and GIREI -Smart Grid Research Group under the project electric vehicle charging in buildings and its impact on the sizing and planning of electrical distribution networks.

Funding Information:
This work was supported by Universidad Polit?cnica Salesiana and GIREI-Smart Grid Research Group under the project electric vehicle charging in buildings and its impact on the sizing and planning of electrical distribution networks.This work was financially funded by the Smart Grid Research Group (GIREI), and Telecommunications Group (GITEL) of Universidad Polit?cnica Salesiana, and the Power Grids and Smart Cities (RECI), Salesian Institutions of Higher Education (IUS).

Publisher Copyright:
© 2021 by the authors. Licensee MDPI, Basel, Switzerland.

Keywords

  • Geo-referencing
  • Heuristic techniques
  • Micro grids
  • Optimization
  • Set cover problem
  • Smart metering

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