Optimal Performance and Modeling of Wireless Technology Enabling Smart Electric Metering Systems Including Microgrids

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 heu...

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Autores principales:	Carlos Suárez, Esteban Inga
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	geo-referencing heuristic techniques smart metering micro grids optimization set cover problem Chemical technology TP1-1185
Acceso en línea:	https://doaj.org/article/d93abd050ab54d81b72c652a4d6745ba
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spelling	oai:doaj.org-article:d93abd050ab54d81b72c652a4d6745ba2021-11-11T19:11:27ZOptimal Performance and Modeling of Wireless Technology Enabling Smart Electric Metering Systems Including Microgrids10.3390/s212172081424-8220https://doaj.org/article/d93abd050ab54d81b72c652a4d6745ba2021-10-01T00:00:00Zhttps://www.mdpi.com/1424-8220/21/21/7208https://doaj.org/toc/1424-8220This 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.Carlos SuárezEsteban IngaMDPI AGarticlegeo-referencingheuristic techniquessmart meteringmicro gridsoptimizationset cover problemChemical technologyTP1-1185ENSensors, Vol 21, Iss 7208, p 7208 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	geo-referencing heuristic techniques smart metering micro grids optimization set cover problem Chemical technology TP1-1185
spellingShingle	geo-referencing heuristic techniques smart metering micro grids optimization set cover problem Chemical technology TP1-1185 Carlos Suárez Esteban Inga Optimal Performance and Modeling of Wireless Technology Enabling Smart Electric Metering Systems Including Microgrids
description	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.
format	article
author	Carlos Suárez Esteban Inga
author_facet	Carlos Suárez Esteban Inga
author_sort	Carlos Suárez
title	Optimal Performance and Modeling of Wireless Technology Enabling Smart Electric Metering Systems Including Microgrids
title_short	Optimal Performance and Modeling of Wireless Technology Enabling Smart Electric Metering Systems Including Microgrids
title_full	Optimal Performance and Modeling of Wireless Technology Enabling Smart Electric Metering Systems Including Microgrids
title_fullStr	Optimal Performance and Modeling of Wireless Technology Enabling Smart Electric Metering Systems Including Microgrids
title_full_unstemmed	Optimal Performance and Modeling of Wireless Technology Enabling Smart Electric Metering Systems Including Microgrids
title_sort	optimal performance and modeling of wireless technology enabling smart electric metering systems including microgrids
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/d93abd050ab54d81b72c652a4d6745ba
work_keys_str_mv	AT carlossuarez optimalperformanceandmodelingofwirelesstechnologyenablingsmartelectricmeteringsystemsincludingmicrogrids AT estebaninga optimalperformanceandmodelingofwirelesstechnologyenablingsmartelectricmeteringsystemsincludingmicrogrids
_version_	1718431613742743552

Optimal Performance and Modeling of Wireless Technology Enabling Smart Electric Metering Systems Including Microgrids

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