Avaliação da dinâmica de nuvens e do impacto em redes de distribuição com grande participação de geração fotovoltaica
Autor(a) principal: | |
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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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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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1815172306136203264 |