Application of base station with array of intelligent antennas in the energy distribution sector

Detalhes bibliográficos
Autor(a) principal: KLEINAU, Bruno Agra
Data de Publicação: 2022
Tipo de documento: Tese
Idioma: eng
Título da fonte: Repositório Institucional da UFPE
Texto Completo: https://repositorio.ufpe.br/handle/123456789/49671
Resumo: The use of Distribution Automation Systems has grown significantly in electricity companies in recent years. The main reason for this is the need to have a smarter network, in order to reduce the time of power interruption. For such applications, communication using Radio Frequency is preferred because this solution is more reliable than 3G/4G and cheaper than fiber optics. In this context, it is of utmost importance to have a more efficient Base Transceiver Station (BTS) that can cover the communication of a larger area. In this work, the mathematical concepts of an intelligent antenna array, as well as the logical operation of an intelligent radiation system controller are presented. Such a system receives as inputs the geographic coordinates of network elements and automatically feeds an intelligent Yagi-Uda antenna array with the appropriate parameters, in order to optimize the radiation pattern in the desired directions. The newly presented model uses a stochastic optimization method to automatically achieve a set of optimal electrical parameters to excite the array, and efficiently direct its beams in a fully controlled way. Thus, the results obtained indicate that the proposed intelligent scheme allows the energy optimization of the antenna system, reducing by 61% the number of BTS needed to cover the same area, when compared to traditional collinear antenna systems.
id UFPE_899153f34fdf813f904d1bb7d456897f
oai_identifier_str oai:repositorio.ufpe.br:123456789/49671
network_acronym_str UFPE
network_name_str Repositório Institucional da UFPE
repository_id_str 2221
spelling KLEINAU, Bruno Agrahttp://lattes.cnpq.br/6127645337713964http://lattes.cnpq.br/4933635747860906MELO, Marcos Tavares de2023-04-14T11:22:38Z2023-04-14T11:22:38Z2022-11-10KLEINAU, Bruno Agra. Application of base station with array of intelligent antennas in the energy distribution sector. 2022. Tese (Doutorado em Engenharia Elétrica) – Universidade Federal de Pernambuco, Recife, 2022.https://repositorio.ufpe.br/handle/123456789/49671The use of Distribution Automation Systems has grown significantly in electricity companies in recent years. The main reason for this is the need to have a smarter network, in order to reduce the time of power interruption. For such applications, communication using Radio Frequency is preferred because this solution is more reliable than 3G/4G and cheaper than fiber optics. In this context, it is of utmost importance to have a more efficient Base Transceiver Station (BTS) that can cover the communication of a larger area. In this work, the mathematical concepts of an intelligent antenna array, as well as the logical operation of an intelligent radiation system controller are presented. Such a system receives as inputs the geographic coordinates of network elements and automatically feeds an intelligent Yagi-Uda antenna array with the appropriate parameters, in order to optimize the radiation pattern in the desired directions. The newly presented model uses a stochastic optimization method to automatically achieve a set of optimal electrical parameters to excite the array, and efficiently direct its beams in a fully controlled way. Thus, the results obtained indicate that the proposed intelligent scheme allows the energy optimization of the antenna system, reducing by 61% the number of BTS needed to cover the same area, when compared to traditional collinear antenna systems.P&D ANEELO uso de Sistemas de Automação da Distribuição tem crescido significativamente nas empresas de energia elétrica nos últimos anos. O principal motivo para isso é a necessidade de uma rede mais inteligente, a fim de reduzir o tempo de interrupção de energia. Para tais aplicações, a comunicação por radiofrequência é preferida porque esta solução é mais confiável do que 3G/4G e mais barata do que fibra óptica. Neste contexto, é de extrema importância ter uma Base Transceiver Station (BTS) mais eficiente que possa cobrir a comunicação de uma área maior. Neste trabalho são apresentados os conceitos matemáticos de um arranjo de antenas inteligentes, bem como o funcionamento lógico de um controlador de sistema de radiação inteligente. Tal sistema recebe como entradas as coordenadas geográficas dos elementos da rede e alimenta automaticamente um arranjo de antenas Yagi-Uda inteligente com os parâmetros apropriados, a fim de otimizar o diagrama de radiação nas direções desejadas. O modelo inovador apresentado usa um método de otimização estocástica para atingir automaticamente um conjunto de parâmetros elétricos ideais para excitar o arranjo e direcionar seus feixes de forma totalmente controlada de forma eficiente. Assim, os resultados obtidos indicam que o esquema inteligente proposto permite a otimização energética do sistema de antenas, reduzindo em 61% o número de BTSs necessárias para cobrir a mesma área, quando comparado aos sistemas tradicionais de antenas colineares.engUniversidade Federal de PernambucoPrograma de Pos Graduacao em Engenharia EletricaUFPEBrasilhttp://creativecommons.org/licenses/by-nc-nd/3.0/br/info:eu-repo/semantics/openAccessEngenharia ElétricaSistemas de comandoArranjos adaptáveisArranjos de antenas linearesAntenas UHFEstações rádio baseRedes inteligentesApplication of base station with array of intelligent antennas in the energy distribution sectorinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisdoutoradoreponame:Repositório Institucional da UFPEinstname:Universidade Federal de Pernambuco (UFPE)instacron:UFPETEXTTESE Bruno Agra Kleinau.pdf.txtTESE Bruno Agra Kleinau.pdf.txtExtracted texttext/plain81673https://repositorio.ufpe.br/bitstream/123456789/49671/4/TESE%20Bruno%20Agra%20Kleinau.pdf.txt1972f235ac9e454b835459fc2df67a4aMD54THUMBNAILTESE Bruno Agra Kleinau.pdf.jpgTESE Bruno Agra Kleinau.pdf.jpgGenerated Thumbnailimage/jpeg1182https://repositorio.ufpe.br/bitstream/123456789/49671/5/TESE%20Bruno%20Agra%20Kleinau.pdf.jpg0c51234115261dfaf14375d3f481ceb5MD55ORIGINALTESE Bruno Agra Kleinau.pdfTESE Bruno Agra Kleinau.pdfapplication/pdf2455748https://repositorio.ufpe.br/bitstream/123456789/49671/1/TESE%20Bruno%20Agra%20Kleinau.pdfd92f71eec295be2be6f070640bea1313MD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8811https://repositorio.ufpe.br/bitstream/123456789/49671/2/license_rdfe39d27027a6cc9cb039ad269a5db8e34MD52LICENSElicense.txtlicense.txttext/plain; charset=utf-82362https://repositorio.ufpe.br/bitstream/123456789/49671/3/license.txt5e89a1613ddc8510c6576f4b23a78973MD53123456789/496712023-04-15 02:17:24.314oai:repositorio.ufpe.br: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Repositório InstitucionalPUBhttps://repositorio.ufpe.br/oai/requestattena@ufpe.bropendoar:22212023-04-15T05:17:24Repositório Institucional da UFPE - Universidade Federal de Pernambuco (UFPE)false
dc.title.pt_BR.fl_str_mv Application of base station with array of intelligent antennas in the energy distribution sector
title Application of base station with array of intelligent antennas in the energy distribution sector
spellingShingle Application of base station with array of intelligent antennas in the energy distribution sector
KLEINAU, Bruno Agra
Engenharia Elétrica
Sistemas de comando
Arranjos adaptáveis
Arranjos de antenas lineares
Antenas UHF
Estações rádio base
Redes inteligentes
title_short Application of base station with array of intelligent antennas in the energy distribution sector
title_full Application of base station with array of intelligent antennas in the energy distribution sector
title_fullStr Application of base station with array of intelligent antennas in the energy distribution sector
title_full_unstemmed Application of base station with array of intelligent antennas in the energy distribution sector
title_sort Application of base station with array of intelligent antennas in the energy distribution sector
author KLEINAU, Bruno Agra
author_facet KLEINAU, Bruno Agra
author_role author
dc.contributor.authorLattes.pt_BR.fl_str_mv http://lattes.cnpq.br/6127645337713964
dc.contributor.advisorLattes.pt_BR.fl_str_mv http://lattes.cnpq.br/4933635747860906
dc.contributor.author.fl_str_mv KLEINAU, Bruno Agra
dc.contributor.advisor1.fl_str_mv MELO, Marcos Tavares de
contributor_str_mv MELO, Marcos Tavares de
dc.subject.por.fl_str_mv Engenharia Elétrica
Sistemas de comando
Arranjos adaptáveis
Arranjos de antenas lineares
Antenas UHF
Estações rádio base
Redes inteligentes
topic Engenharia Elétrica
Sistemas de comando
Arranjos adaptáveis
Arranjos de antenas lineares
Antenas UHF
Estações rádio base
Redes inteligentes
description The use of Distribution Automation Systems has grown significantly in electricity companies in recent years. The main reason for this is the need to have a smarter network, in order to reduce the time of power interruption. For such applications, communication using Radio Frequency is preferred because this solution is more reliable than 3G/4G and cheaper than fiber optics. In this context, it is of utmost importance to have a more efficient Base Transceiver Station (BTS) that can cover the communication of a larger area. In this work, the mathematical concepts of an intelligent antenna array, as well as the logical operation of an intelligent radiation system controller are presented. Such a system receives as inputs the geographic coordinates of network elements and automatically feeds an intelligent Yagi-Uda antenna array with the appropriate parameters, in order to optimize the radiation pattern in the desired directions. The newly presented model uses a stochastic optimization method to automatically achieve a set of optimal electrical parameters to excite the array, and efficiently direct its beams in a fully controlled way. Thus, the results obtained indicate that the proposed intelligent scheme allows the energy optimization of the antenna system, reducing by 61% the number of BTS needed to cover the same area, when compared to traditional collinear antenna systems.
publishDate 2022
dc.date.issued.fl_str_mv 2022-11-10
dc.date.accessioned.fl_str_mv 2023-04-14T11:22:38Z
dc.date.available.fl_str_mv 2023-04-14T11:22:38Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/doctoralThesis
format doctoralThesis
status_str publishedVersion
dc.identifier.citation.fl_str_mv KLEINAU, Bruno Agra. Application of base station with array of intelligent antennas in the energy distribution sector. 2022. Tese (Doutorado em Engenharia Elétrica) – Universidade Federal de Pernambuco, Recife, 2022.
dc.identifier.uri.fl_str_mv https://repositorio.ufpe.br/handle/123456789/49671
identifier_str_mv KLEINAU, Bruno Agra. Application of base station with array of intelligent antennas in the energy distribution sector. 2022. Tese (Doutorado em Engenharia Elétrica) – Universidade Federal de Pernambuco, Recife, 2022.
url https://repositorio.ufpe.br/handle/123456789/49671
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv http://creativecommons.org/licenses/by-nc-nd/3.0/br/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-nd/3.0/br/
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Universidade Federal de Pernambuco
dc.publisher.program.fl_str_mv Programa de Pos Graduacao em Engenharia Eletrica
dc.publisher.initials.fl_str_mv UFPE
dc.publisher.country.fl_str_mv Brasil
publisher.none.fl_str_mv Universidade Federal de Pernambuco
dc.source.none.fl_str_mv reponame:Repositório Institucional da UFPE
instname:Universidade Federal de Pernambuco (UFPE)
instacron:UFPE
instname_str Universidade Federal de Pernambuco (UFPE)
instacron_str UFPE
institution UFPE
reponame_str Repositório Institucional da UFPE
collection Repositório Institucional da UFPE
bitstream.url.fl_str_mv https://repositorio.ufpe.br/bitstream/123456789/49671/4/TESE%20Bruno%20Agra%20Kleinau.pdf.txt
https://repositorio.ufpe.br/bitstream/123456789/49671/5/TESE%20Bruno%20Agra%20Kleinau.pdf.jpg
https://repositorio.ufpe.br/bitstream/123456789/49671/1/TESE%20Bruno%20Agra%20Kleinau.pdf
https://repositorio.ufpe.br/bitstream/123456789/49671/2/license_rdf
https://repositorio.ufpe.br/bitstream/123456789/49671/3/license.txt
bitstream.checksum.fl_str_mv 1972f235ac9e454b835459fc2df67a4a
0c51234115261dfaf14375d3f481ceb5
d92f71eec295be2be6f070640bea1313
e39d27027a6cc9cb039ad269a5db8e34
5e89a1613ddc8510c6576f4b23a78973
bitstream.checksumAlgorithm.fl_str_mv MD5
MD5
MD5
MD5
MD5
repository.name.fl_str_mv Repositório Institucional da UFPE - Universidade Federal de Pernambuco (UFPE)
repository.mail.fl_str_mv attena@ufpe.br
_version_ 1802310589107666944