Metodologia de blocos funcionais com previsão de grandezas elétricas para sistemas de distribuição inteligentes

Detalhes bibliográficos
Ano de defesa: 2018
Autor(a) principal: Garcia, Enoque Dutra lattes
Orientador(a): Canha, Luciane Neves lattes
Banca de defesa: Abaide, Alzenira da Rosa lattes, Lemos, Flavio Antonio Becon lattes, Knak Neto, Nelson lattes, Milbradt, Rafael Gressler lattes
Tipo de documento: Tese
Tipo de acesso: Acesso aberto
Idioma: por
Instituição de defesa: Universidade Federal de Santa Maria
Centro de Tecnologia
Programa de Pós-Graduação: Programa de Pós-Graduação em Engenharia Elétrica
Departamento: Engenharia Elétrica
País: Brasil
Palavras-chave em Português:
Recursos de energia distribuídos
Recursos flexíveis distribuídos
Previsão
Controle do sistema de energia
Redes elétricas inteligentes
Palavras-chave em Inglês:
Distributed energy resources
Distributed flexible resources
Forecasting
Power system control
Smart grids
Área do conhecimento CNPq:
CNPQ::ENGENHARIAS::ENGENHARIA ELETRICA
Link de acesso: http://repositorio.ufsm.br/handle/1/15288
Resumo: Distribution systems are undergoing structural and topological changes, mainly due to the influence of the new distributed energy resources inserted along the feeders. In this context, the growth of the Smart Grids requires the evolution of the control and operation tools, since the decisions-making should promote proactive actions. In this sense, the present thesis proposes a method for subdividing the distribution system into grid functional blocks, associated to a method of forecasting distributed electric quantities. The functional blocks allow the assets to be organized in a way to provide sufficient information to perform advanced analyzes of a geoelectric region. The proactive decisions in the grid functional blocks are then taken from the very short term forecast of variables (voltage, current, active power and reactive power). These forecasts are based on an innovative method of selection of forecasting techniques, which takes into account the online and historical information for the performance ranking of forecasting techniques. The developed methodologies provide greater flexibility for the Smart Grids regarding to the dynamic changes that occur in the distribution grids in the presence of distributed flexible resources, demand management, Volt-VAR Optimization, Conservation Voltage Reduction, protection, automatic reconfiguration, self-healing, storage and electric vehicles.
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spelling 2019-01-10T13:12:41Z2019-01-10T13:12:41Z2018-03-22http://repositorio.ufsm.br/handle/1/15288Distribution systems are undergoing structural and topological changes, mainly due to the influence of the new distributed energy resources inserted along the feeders. In this context, the growth of the Smart Grids requires the evolution of the control and operation tools, since the decisions-making should promote proactive actions. In this sense, the present thesis proposes a method for subdividing the distribution system into grid functional blocks, associated to a method of forecasting distributed electric quantities. The functional blocks allow the assets to be organized in a way to provide sufficient information to perform advanced analyzes of a geoelectric region. The proactive decisions in the grid functional blocks are then taken from the very short term forecast of variables (voltage, current, active power and reactive power). These forecasts are based on an innovative method of selection of forecasting techniques, which takes into account the online and historical information for the performance ranking of forecasting techniques. The developed methodologies provide greater flexibility for the Smart Grids regarding to the dynamic changes that occur in the distribution grids in the presence of distributed flexible resources, demand management, Volt-VAR Optimization, Conservation Voltage Reduction, protection, automatic reconfiguration, self-healing, storage and electric vehicles.Os sistemas de distribuição estão passando por mudanças estruturais e topológicas, principalmente devido à influência dos novos recursos energéticos distribuídos, inseridos ao longo dos alimentadores. Neste contexto, o crescimento das Redes Elétricas Inteligentes requer a evolução das ferramentas de controle e operação, uma vez que a tomada de decisões deve promover ações proativas. Nesse sentido, essa tese propõe um método para subdividir o sistema de distribuição em blocos funcionais de rede, associados a um método de previsão de grandezas elétricas distribuídas. Os blocos funcionais permitem que os recursos sejam organizados de forma a fornecer informações suficientes para realizar análises avançadas de uma região geoelétrica. As decisões proativas nos blocos funcionais da rede consideram a previsão de variáveis no curtíssimo prazo (tensão, corrente, potência ativa e potência reativa). Essas previsões são baseadas em um método desenvolvido na tese para seleção de técnicas de previsão, que leva em consideração as informações online e dados históricos para o ordenamento das técnicas conforme performance da previsão. As metodologias desenvolvidas proporcionam maior flexibilidade para as redes inteligentes em relação às mudanças que ocorrem nas redes de distribuição na presença de recursos flexíveis distribuídos, gerenciamento de demanda, otimização do controle de tensão e reativos, proteção, reconfiguração automática, autorecomposição das redes, armazenamento de energia e veículos elétricos.porUniversidade Federal de Santa MariaCentro de TecnologiaPrograma de Pós-Graduação em Engenharia ElétricaUFSMBrasilEngenharia ElétricaAttribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessRecursos de energia distribuídosRecursos flexíveis distribuídosPrevisãoControle do sistema de energiaRedes elétricas inteligentesDistributed energy resourcesDistributed flexible resourcesForecastingPower system controlSmart gridsCNPQ::ENGENHARIAS::ENGENHARIA ELETRICAMetodologia de blocos funcionais com previsão de grandezas elétricas para sistemas de distribuição inteligentesFunctional blocks methodology with forecasting of electrical quantities for smart gridsinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisCanha, Luciane Neveshttp://lattes.cnpq.br/6991878627141193Pereira, Paulo Ricardo da Silvahttp://lattes.cnpq.br/1997755245309923Abaide, Alzenira da Rosahttp://lattes.cnpq.br/2427825596072142Lemos, Flavio Antonio Beconhttp://lattes.cnpq.br/4315339145798068Knak Neto, Nelsonhttp://lattes.cnpq.br/8117456718259417Milbradt, Rafael Gresslerhttp://lattes.cnpq.br/5497528376748724http://lattes.cnpq.br/0871849639056879Garcia, Enoque Dutra300400000007600ab53fdc5-93b0-417d-b96d-9442b235a1ff89e6b21d-c1ca-4047-ba7b-dfc2f59e596c94abf340-8e98-4dda-adee-86b21bf49b153e00029a-ff6e-4e78-9f59-e957ef99c5549e74a6ab-e294-4eb9-a061-86e52db22dc94bbad0d4-e540-418b-b812-a8a06bd1f97a2cc2b5e3-9010-4030-8561-821a5ce6acbcreponame:Biblioteca Digital de Teses e Dissertações do UFSMinstname:Universidade Federal de Santa Maria (UFSM)instacron:UFSMCC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; 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dc.title.por.fl_str_mv Metodologia de blocos funcionais com previsão de grandezas elétricas para sistemas de distribuição inteligentes
dc.title.alternative.eng.fl_str_mv Functional blocks methodology with forecasting of electrical quantities for smart grids
title Metodologia de blocos funcionais com previsão de grandezas elétricas para sistemas de distribuição inteligentes
spellingShingle Metodologia de blocos funcionais com previsão de grandezas elétricas para sistemas de distribuição inteligentes
Garcia, Enoque Dutra
Recursos de energia distribuídos
Recursos flexíveis distribuídos
Previsão
Controle do sistema de energia
Redes elétricas inteligentes
Distributed energy resources
Distributed flexible resources
Forecasting
Power system control
Smart grids
CNPQ::ENGENHARIAS::ENGENHARIA ELETRICA
title_short Metodologia de blocos funcionais com previsão de grandezas elétricas para sistemas de distribuição inteligentes
title_full Metodologia de blocos funcionais com previsão de grandezas elétricas para sistemas de distribuição inteligentes
title_fullStr Metodologia de blocos funcionais com previsão de grandezas elétricas para sistemas de distribuição inteligentes
title_full_unstemmed Metodologia de blocos funcionais com previsão de grandezas elétricas para sistemas de distribuição inteligentes
title_sort Metodologia de blocos funcionais com previsão de grandezas elétricas para sistemas de distribuição inteligentes
author Garcia, Enoque Dutra
author_facet Garcia, Enoque Dutra
author_role author
dc.contributor.advisor1.fl_str_mv Canha, Luciane Neves
dc.contributor.advisor1Lattes.fl_str_mv http://lattes.cnpq.br/6991878627141193
dc.contributor.advisor-co1.fl_str_mv Pereira, Paulo Ricardo da Silva
dc.contributor.advisor-co1Lattes.fl_str_mv http://lattes.cnpq.br/1997755245309923
dc.contributor.referee1.fl_str_mv Abaide, Alzenira da Rosa
dc.contributor.referee1Lattes.fl_str_mv http://lattes.cnpq.br/2427825596072142
dc.contributor.referee2.fl_str_mv Lemos, Flavio Antonio Becon
dc.contributor.referee2Lattes.fl_str_mv http://lattes.cnpq.br/4315339145798068
dc.contributor.referee3.fl_str_mv Knak Neto, Nelson
dc.contributor.referee3Lattes.fl_str_mv http://lattes.cnpq.br/8117456718259417
dc.contributor.referee4.fl_str_mv Milbradt, Rafael Gressler
dc.contributor.referee4Lattes.fl_str_mv http://lattes.cnpq.br/5497528376748724
dc.contributor.authorLattes.fl_str_mv http://lattes.cnpq.br/0871849639056879
dc.contributor.author.fl_str_mv Garcia, Enoque Dutra
contributor_str_mv Canha, Luciane Neves
Pereira, Paulo Ricardo da Silva
Abaide, Alzenira da Rosa
Lemos, Flavio Antonio Becon
Knak Neto, Nelson
Milbradt, Rafael Gressler
dc.subject.por.fl_str_mv Recursos de energia distribuídos
Recursos flexíveis distribuídos
Previsão
Controle do sistema de energia
Redes elétricas inteligentes
topic Recursos de energia distribuídos
Recursos flexíveis distribuídos
Previsão
Controle do sistema de energia
Redes elétricas inteligentes
Distributed energy resources
Distributed flexible resources
Forecasting
Power system control
Smart grids
CNPQ::ENGENHARIAS::ENGENHARIA ELETRICA
dc.subject.eng.fl_str_mv Distributed energy resources
Distributed flexible resources
Forecasting
Power system control
Smart grids
dc.subject.cnpq.fl_str_mv CNPQ::ENGENHARIAS::ENGENHARIA ELETRICA
description Distribution systems are undergoing structural and topological changes, mainly due to the influence of the new distributed energy resources inserted along the feeders. In this context, the growth of the Smart Grids requires the evolution of the control and operation tools, since the decisions-making should promote proactive actions. In this sense, the present thesis proposes a method for subdividing the distribution system into grid functional blocks, associated to a method of forecasting distributed electric quantities. The functional blocks allow the assets to be organized in a way to provide sufficient information to perform advanced analyzes of a geoelectric region. The proactive decisions in the grid functional blocks are then taken from the very short term forecast of variables (voltage, current, active power and reactive power). These forecasts are based on an innovative method of selection of forecasting techniques, which takes into account the online and historical information for the performance ranking of forecasting techniques. The developed methodologies provide greater flexibility for the Smart Grids regarding to the dynamic changes that occur in the distribution grids in the presence of distributed flexible resources, demand management, Volt-VAR Optimization, Conservation Voltage Reduction, protection, automatic reconfiguration, self-healing, storage and electric vehicles.
publishDate 2018
dc.date.issued.fl_str_mv 2018-03-22
dc.date.accessioned.fl_str_mv 2019-01-10T13:12:41Z
dc.date.available.fl_str_mv 2019-01-10T13:12:41Z
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dc.publisher.none.fl_str_mv Universidade Federal de Santa Maria
Centro de Tecnologia
dc.publisher.program.fl_str_mv Programa de Pós-Graduação em Engenharia Elétrica
dc.publisher.initials.fl_str_mv UFSM
dc.publisher.country.fl_str_mv Brasil
dc.publisher.department.fl_str_mv Engenharia Elétrica
publisher.none.fl_str_mv Universidade Federal de Santa Maria
Centro de Tecnologia
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