Avaliação da dinâmica de nuvens e do impacto em redes de distribuição com grande participação de geração fotovoltaica

Detalhes bibliográficos
Autor(a) principal: Martins, Criciéle Castro
Data de Publicação: 2017
Tipo de documento: Dissertação
Idioma: por
Título da fonte: Manancial - Repositório Digital da UFSM
dARK ID: ark:/26339/0013000008r8c
Texto Completo: http://repositorio.ufsm.br/handle/1/12935
Resumo: The search for a more diverse energy matrix, to decrease the fossil fuel consumption com-bined with the enhance concern of environmental impacts results in an increasing interest on the installation of distributed generators. Nevertheless, its technical impacts must be studied carefully to benefit electric energy distribution systems. Considering photovoltaic generators, the presence of clouds influences directly in the solar irradiance on Earth’s surface, what var-ies, in a significant way, the generation of energy throughout time. The continuous clouds movement above electrical grids that contain this kind of generation produces difficulty in the forecast variations of the generated power flow and voltage fluctuations on electrical grid im-pacting the consumer’s energy quality. Thus, this master dissertation proposes to rank real solar irradiance data according to satellite image processing, which counts on information referring to the different sort of clouds. The purpose is to investigate how the dynamic of clouds affects the energy production from photovoltaic generator and, consequently, the im-pact on the electrical grids that counts with it. At first, different types of clouds are ranked through image processing techniques, so that images were obtained in CPTEC. Weather Fore-casting and Climate Studies Center website using satellite GOES-13 data with 30 minutes periods. In comparison to image processing results, it is used measured data from a photovol-taic system installed on the roof of Block E from Santa Maria’s Polytechnic School to rate the shading influence, thus, the classification of measured data on: sunny, partially clouded and fully clouded days. Therefore, for the evaluation of impact of a photovoltaic systems on dif-ferent generation situations over an electric distribution grid, it was used the IEEE 34-bus feeder, through known analysis such as QuasiStatic Time-Series Analysis performed by the software Open Distribution System Simulator (OpenDSS). Different load profiles are also considered, such as constant and variating loads on weekdays and weekends. The results in each tested case are presented and is performed an analysis of information from the energetic point of view, observing the real and local generation capacity, and the quality of the energy provided by the system, in which is referred the voltage levels and operation of voltage regu-lators equipment.
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spelling Avaliação da dinâmica de nuvens e do impacto em redes de distribuição com grande participação de geração fotovoltaicaEvaluation of cloud dynamics and impact on distribution net-works with great participation photovoltaics generationGeradores fotovoltaicosImagens de satéliteNuvensOpenDSSPhotovoltaic generatorsSatellite imagesCloudsOpenDSSCNPQ::ENGENHARIAS::ENGENHARIA ELETRICAThe search for a more diverse energy matrix, to decrease the fossil fuel consumption com-bined with the enhance concern of environmental impacts results in an increasing interest on the installation of distributed generators. Nevertheless, its technical impacts must be studied carefully to benefit electric energy distribution systems. Considering photovoltaic generators, the presence of clouds influences directly in the solar irradiance on Earth’s surface, what var-ies, in a significant way, the generation of energy throughout time. The continuous clouds movement above electrical grids that contain this kind of generation produces difficulty in the forecast variations of the generated power flow and voltage fluctuations on electrical grid im-pacting the consumer’s energy quality. Thus, this master dissertation proposes to rank real solar irradiance data according to satellite image processing, which counts on information referring to the different sort of clouds. The purpose is to investigate how the dynamic of clouds affects the energy production from photovoltaic generator and, consequently, the im-pact on the electrical grids that counts with it. At first, different types of clouds are ranked through image processing techniques, so that images were obtained in CPTEC. Weather Fore-casting and Climate Studies Center website using satellite GOES-13 data with 30 minutes periods. In comparison to image processing results, it is used measured data from a photovol-taic system installed on the roof of Block E from Santa Maria’s Polytechnic School to rate the shading influence, thus, the classification of measured data on: sunny, partially clouded and fully clouded days. Therefore, for the evaluation of impact of a photovoltaic systems on dif-ferent generation situations over an electric distribution grid, it was used the IEEE 34-bus feeder, through known analysis such as QuasiStatic Time-Series Analysis performed by the software Open Distribution System Simulator (OpenDSS). Different load profiles are also considered, such as constant and variating loads on weekdays and weekends. The results in each tested case are presented and is performed an analysis of information from the energetic point of view, observing the real and local generation capacity, and the quality of the energy provided by the system, in which is referred the voltage levels and operation of voltage regu-lators equipment.Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPESA busca pela diversificação da matriz energética, diminuição na utilização de combustíveis fósseis para geração de energia elétrica, além da maior preocupação com os impactos ambientais, fazem com que se aposte cada vez mais na instalação de geradores distribuídos. Contudo, para que estes possam vir a beneficiar sistemas de distribuição de energia elétrica, seus impactos técnicos devem ser cuidadosamente estudados. Considerando geradores fotovoltaicos, a presença de nuvens influ-encia diretamente a irradiância solar que chega à superfície terrestre, variando de uma forma sig-nificativa ao longo do tempo a energia gerada. O movimento contínuo das nuvens sobre redes elétricas que contam com esse tipo de geração produz variações de difícil previsibilidade sobre o fluxo de potência gerado e flutuações de tensão na rede elétrica, acarretando em possíveis impac-tos na qualidade de energia fornecida aos consumidores. Assim, esta dissertação de mestrado pro-põe classificar dados reais de irradiância solar conforme o processamento de imagens de satélite que contam com informações referente a classificação de diferentes tipos de nuvens, com objetivo de investigar como a dinâmica de nuvens afeta a produção de energia através de geradores fo-tovoltaicos, e consequentemente redes de distribuição de energia elétrica que contam com a parti-cipação dos mesmos. Em um primeiro instante, através de técnicas de processamento de ima-gem dá-se a classificação dos diferentes tipos de nuvens, de modo que as imagens são obtidas através do site do CPTEC (Centro de Previsão do Tempo e Estudos Climáticos) com dados do satélite GOES-13 em períodos de 30 minutos. Em comparação aos resultados de processamento de imagem são utilizados dados medidos de um sistema fotovoltaico, instalado no telhado do Blo-co E do Colégio Politécnico de Santa Maria, para avaliar a influência do sombreamento, e assim classificação dos dados medidos em: dia ensolarado, parcialmente encoberto e encoberto. Logo, para a avaliação do impacto em uma rede de distribuição elétrica que conta com sistemas fotovol-taicos em diferentes situações de geração, considera-se o sistema IEEE 34 barras, a partir de aná-lises conhecidas como Quasi-Static Time-Series Analysis, realizadas pelo software Open Distri-bution System Simulator (OpenDSS). Também, são considerados diferentes perfis de carga, como por exemplo, cargas que não variam no tempo, e cargas que variam com características de dia de semana e fim de semana. Os resultados de cada caso testado são apresentados e é realizado uma análise de informações tanto do ponto de vista energético, observando-se a capacidade real e local de geração, além da qualidade de energia fornecida pelo sistema, no que se refere aos níveis de tensão e operação de equipamentos reguladores de tensão.Universidade Federal de Santa MariaBrasilEngenharia ElétricaUFSMPrograma de Pós-Graduação em Engenharia ElétricaCentro de TecnologiaSperandio, Mauriciohttp://lattes.cnpq.br/8051956713222836Beltrame, Rafael Concattohttp://lattes.cnpq.br/0818364721574204Pereira, Paulo Ricardo da Silvahttp://lattes.cnpq.br/1997755245309923Martins, Criciéle Castro2018-04-12T12:52:45Z2018-04-12T12:52:45Z2017-03-03info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://repositorio.ufsm.br/handle/1/12935ark:/26339/0013000008r8cporAttribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessreponame:Manancial - Repositório Digital da UFSMinstname:Universidade Federal de Santa Maria (UFSM)instacron:UFSM2018-04-12T12:52:45Zoai:repositorio.ufsm.br:1/12935Biblioteca Digital de Teses e Dissertaçõeshttps://repositorio.ufsm.br/ONGhttps://repositorio.ufsm.br/oai/requestatendimento.sib@ufsm.br||tedebc@gmail.comopendoar:2018-04-12T12:52:45Manancial - Repositório Digital da UFSM - Universidade Federal de Santa Maria (UFSM)false
dc.title.none.fl_str_mv Avaliação da dinâmica de nuvens e do impacto em redes de distribuição com grande participação de geração fotovoltaica
Evaluation of cloud dynamics and impact on distribution net-works with great participation photovoltaics generation
title Avaliação da dinâmica de nuvens e do impacto em redes de distribuição com grande participação de geração fotovoltaica
spellingShingle Avaliação da dinâmica de nuvens e do impacto em redes de distribuição com grande participação de geração fotovoltaica
Martins, Criciéle Castro
Geradores fotovoltaicos
Imagens de satélite
Nuvens
OpenDSS
Photovoltaic generators
Satellite images
Clouds
OpenDSS
CNPQ::ENGENHARIAS::ENGENHARIA ELETRICA
title_short Avaliação da dinâmica de nuvens e do impacto em redes de distribuição com grande participação de geração fotovoltaica
title_full Avaliação da dinâmica de nuvens e do impacto em redes de distribuição com grande participação de geração fotovoltaica
title_fullStr Avaliação da dinâmica de nuvens e do impacto em redes de distribuição com grande participação de geração fotovoltaica
title_full_unstemmed Avaliação da dinâmica de nuvens e do impacto em redes de distribuição com grande participação de geração fotovoltaica
title_sort Avaliação da dinâmica de nuvens e do impacto em redes de distribuição com grande participação de geração fotovoltaica
author Martins, Criciéle Castro
author_facet Martins, Criciéle Castro
author_role author
dc.contributor.none.fl_str_mv Sperandio, Mauricio
http://lattes.cnpq.br/8051956713222836
Beltrame, Rafael Concatto
http://lattes.cnpq.br/0818364721574204
Pereira, Paulo Ricardo da Silva
http://lattes.cnpq.br/1997755245309923
dc.contributor.author.fl_str_mv Martins, Criciéle Castro
dc.subject.por.fl_str_mv Geradores fotovoltaicos
Imagens de satélite
Nuvens
OpenDSS
Photovoltaic generators
Satellite images
Clouds
OpenDSS
CNPQ::ENGENHARIAS::ENGENHARIA ELETRICA
topic Geradores fotovoltaicos
Imagens de satélite
Nuvens
OpenDSS
Photovoltaic generators
Satellite images
Clouds
OpenDSS
CNPQ::ENGENHARIAS::ENGENHARIA ELETRICA
description The search for a more diverse energy matrix, to decrease the fossil fuel consumption com-bined with the enhance concern of environmental impacts results in an increasing interest on the installation of distributed generators. Nevertheless, its technical impacts must be studied carefully to benefit electric energy distribution systems. Considering photovoltaic generators, the presence of clouds influences directly in the solar irradiance on Earth’s surface, what var-ies, in a significant way, the generation of energy throughout time. The continuous clouds movement above electrical grids that contain this kind of generation produces difficulty in the forecast variations of the generated power flow and voltage fluctuations on electrical grid im-pacting the consumer’s energy quality. Thus, this master dissertation proposes to rank real solar irradiance data according to satellite image processing, which counts on information referring to the different sort of clouds. The purpose is to investigate how the dynamic of clouds affects the energy production from photovoltaic generator and, consequently, the im-pact on the electrical grids that counts with it. At first, different types of clouds are ranked through image processing techniques, so that images were obtained in CPTEC. Weather Fore-casting and Climate Studies Center website using satellite GOES-13 data with 30 minutes periods. In comparison to image processing results, it is used measured data from a photovol-taic system installed on the roof of Block E from Santa Maria’s Polytechnic School to rate the shading influence, thus, the classification of measured data on: sunny, partially clouded and fully clouded days. Therefore, for the evaluation of impact of a photovoltaic systems on dif-ferent generation situations over an electric distribution grid, it was used the IEEE 34-bus feeder, through known analysis such as QuasiStatic Time-Series Analysis performed by the software Open Distribution System Simulator (OpenDSS). Different load profiles are also considered, such as constant and variating loads on weekdays and weekends. The results in each tested case are presented and is performed an analysis of information from the energetic point of view, observing the real and local generation capacity, and the quality of the energy provided by the system, in which is referred the voltage levels and operation of voltage regu-lators equipment.
publishDate 2017
dc.date.none.fl_str_mv 2017-03-03
2018-04-12T12:52:45Z
2018-04-12T12:52:45Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://repositorio.ufsm.br/handle/1/12935
dc.identifier.dark.fl_str_mv ark:/26339/0013000008r8c
url http://repositorio.ufsm.br/handle/1/12935
identifier_str_mv ark:/26339/0013000008r8c
dc.language.iso.fl_str_mv por
language por
dc.rights.driver.fl_str_mv Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal de Santa Maria
Brasil
Engenharia Elétrica
UFSM
Programa de Pós-Graduação em Engenharia Elétrica
Centro de Tecnologia
publisher.none.fl_str_mv Universidade Federal de Santa Maria
Brasil
Engenharia Elétrica
UFSM
Programa de Pós-Graduação em Engenharia Elétrica
Centro de Tecnologia
dc.source.none.fl_str_mv reponame:Manancial - Repositório Digital da UFSM
instname:Universidade Federal de Santa Maria (UFSM)
instacron:UFSM
instname_str Universidade Federal de Santa Maria (UFSM)
instacron_str UFSM
institution UFSM
reponame_str Manancial - Repositório Digital da UFSM
collection Manancial - Repositório Digital da UFSM
repository.name.fl_str_mv Manancial - Repositório Digital da UFSM - Universidade Federal de Santa Maria (UFSM)
repository.mail.fl_str_mv atendimento.sib@ufsm.br||tedebc@gmail.com
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