Análise do carregamento de veículos elétricos na curva de carga do transformador de distribuição
Ano de defesa: | 2017 |
---|---|
Autor(a) principal: | |
Orientador(a): | |
Banca de defesa: | , |
Tipo de documento: | Dissertação |
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: | |
Palavras-chave em Inglês: | |
Área do conhecimento CNPq: | |
Link de acesso: | http://repositorio.ufsm.br/handle/1/14679 |
Resumo: | The objective of this dissertation is to evaluate the insertion of Electric Vehicles (EVs) on the distribution system. Motivated by the shortage of deterministic data regarding the process of charging EVs batteries, a probabilistic methodology is proposed to estimate the requested system’s power demand. For that, energy consumption and urban mobility patterns from a pilot region are used to compose the distribution transformer load curve. The period in which the energy is requested to the system is based on the analysis of two EVs charging strategies, dumb charging and economic charging, both represented by Poisson distributions in the proposed model. While the first corresponds to the grid connection according to the driver’s usual trip recurrence time, the second is based on the hourly tariff analysis, motivating the charging at lower tariff charges, when available. The driver’s distance traveled regarding to the pilot city is estimated statistically based on the Inspection and Maintenance Program of the city of São Paulo, configured by a Normal Probability Distribution. Aggregated with charging characteristics, these distributions are intended to represent the energy demand required by electric vehicles over time, which is then added to a distribution transformer charging model. This model integrates typical load curves to the transformer, described by a probability distribution that relates the proportion of customers of each class with the average number of consumers connected to the equipment. Both demand for electric vehicles and typical consumer demand take into account the probabilistic nature of load. Therefore, the Monte Carlo method is used for both situations, which uses random variables described by probabilistic functions to estimate the EVs insertion impact. The distribution transformer load curve is evaluated based on the model’s results, regarding to the influence of different technology penetration levels, as a support tool for the decision to prioritize the investments of energy distributors. |
id |
UFSM-20_a060c3e6593041f5bc765da6b42eb1cf |
---|---|
oai_identifier_str |
oai:repositorio.ufsm.br:1/14679 |
network_acronym_str |
UFSM-20 |
network_name_str |
Manancial - Repositório Digital da UFSM |
repository_id_str |
|
spelling |
2018-10-25T18:01:02Z2018-10-25T18:01:02Z2017-12-04http://repositorio.ufsm.br/handle/1/14679The objective of this dissertation is to evaluate the insertion of Electric Vehicles (EVs) on the distribution system. Motivated by the shortage of deterministic data regarding the process of charging EVs batteries, a probabilistic methodology is proposed to estimate the requested system’s power demand. For that, energy consumption and urban mobility patterns from a pilot region are used to compose the distribution transformer load curve. The period in which the energy is requested to the system is based on the analysis of two EVs charging strategies, dumb charging and economic charging, both represented by Poisson distributions in the proposed model. While the first corresponds to the grid connection according to the driver’s usual trip recurrence time, the second is based on the hourly tariff analysis, motivating the charging at lower tariff charges, when available. The driver’s distance traveled regarding to the pilot city is estimated statistically based on the Inspection and Maintenance Program of the city of São Paulo, configured by a Normal Probability Distribution. Aggregated with charging characteristics, these distributions are intended to represent the energy demand required by electric vehicles over time, which is then added to a distribution transformer charging model. This model integrates typical load curves to the transformer, described by a probability distribution that relates the proportion of customers of each class with the average number of consumers connected to the equipment. Both demand for electric vehicles and typical consumer demand take into account the probabilistic nature of load. Therefore, the Monte Carlo method is used for both situations, which uses random variables described by probabilistic functions to estimate the EVs insertion impact. The distribution transformer load curve is evaluated based on the model’s results, regarding to the influence of different technology penetration levels, as a support tool for the decision to prioritize the investments of energy distributors.O objetivo desta dissertação é avaliar a inserção de veículos elétricos (VEs) no sistema de distribuição. Motivado pela escassez de dados determinísticos a respeito do processo de recarga de baterias de VEs, propõe-se uma metodologia probabilística para estimar a demanda de potência requisitada ao sistema. Para tanto, são utilizados padrões de consumo de energia e mobilidade urbana duma região piloto para compor a curva de carga do transformador de distribuição. O período em que a energia é solicitada ao sistema baseia-se na análise de duas estratégias de carregamento de VEs, dumb charging e carregamento econômico, ambas representadas por distribuições de Poisson no modelo proposto. Enquanto a primeira corresponde a conexão à rede de acordo com o horário de retorno da viagem habitual do motorista, a segunda é baseada na análise da tarifa horária, motivando o carregamento em horários de menor tarifação, quando disponível. A distância percorrida pelos motoristas da cidade piloto é estimada de maneira estatística com base no Programa de Inspeção e Manutenção da cidade de São Paulo, configurada por uma Distribuição Normal de probabilidades. Agregadas com características de carregamento, tais distribuições têm por finalidade representar a demanda de energia requerida por veículos elétricos ao longo do tempo, que posteriormente é somada a um modelo de carregamento de transformadores de distribuição. Tal modelo integra curvas típicas de consumo ao transformador, descritas por uma distribuição de probabilidade que relaciona a proporção de clientes de cada classe de consumo com o número médio de consumidores conectados ao equipamento. Sendo assim, tanto a demanda de veículos elétricos como a demanda típica de consumidores levam em consideração a natureza probabilística da carga. Em virtude disso, utiliza-se o método de Monte Carlo para ambas situações, o qual utiliza variáveis aleatórias descritas por funções probabilísticas para a estimativa do impacto da inserção de VEs. A partir dos resultados do modelo, realiza-se a avaliação da influência de diferentes níveis de penetração da tecnologia na curva de carga do transformador de distribuição, pois novos picos de demanda podem surgir a partir dessa inserção. Essa estratégia pode servir como ferramenta de apoio a decisão da priorização de investimentos das distribuidoras.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/openAccessApoio a decisãoVeículos elétricosTransformador de distribuiçãoCurva de cargaDistribuição normalMétodo de Monte CarloDecision supportDistribution transformerElectric vehicleLoad curveMonte Carlo methodNormal distributionCNPQ::ENGENHARIAS::ENGENHARIA ELETRICAAnálise do carregamento de veículos elétricos na curva de carga do transformador de distribuiçãoAnalysis of electric vehicle battery charging on distribution transformer load curveinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisAbaide, Alzenira da Rosahttp://lattes.cnpq.br/2427825596072142Pfitscher, Luciano Lopeshttp://lattes.cnpq.br/9139352677011006Barin, Alexandrehttp://lattes.cnpq.br/2477477379031706http://lattes.cnpq.br/8776511917988173Sausen, Jordan Passinato3004000000076006777278d-7b2f-4400-81f8-c04c5b371ad45c2e14bf-d89e-4f89-9429-092e59e9121bb96cbf3d-e347-4b8b-b18b-feada1cfe2808def59c2-c7e6-4019-924d-2917b8a589cbreponame:Manancial - Repositório Digital da UFSMinstname:Universidade Federal de Santa Maria (UFSM)instacron:UFSMORIGINALDIS_PPGEE_2017_SAUSEN_JORDAN.pdfDIS_PPGEE_2017_SAUSEN_JORDAN.pdfDissertação de Mestradoapplication/pdf2809507http://repositorio.ufsm.br/bitstream/1/14679/1/DIS_PPGEE_2017_SAUSEN_JORDAN.pdfefea297adfc05deba03179f4371154f5MD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8804http://repositorio.ufsm.br/bitstream/1/14679/2/license_rdfc1efe8e24d7281448e873be30ea326ffMD52LICENSElicense.txtlicense.txttext/plain; charset=utf-81956http://repositorio.ufsm.br/bitstream/1/14679/3/license.txt2f0571ecee68693bd5cd3f17c1e075dfMD53TEXTDIS_PPGEE_2017_SAUSEN_JORDAN.pdf.txtDIS_PPGEE_2017_SAUSEN_JORDAN.pdf.txtExtracted texttext/plain213884http://repositorio.ufsm.br/bitstream/1/14679/4/DIS_PPGEE_2017_SAUSEN_JORDAN.pdf.txtea0b27457e380cd14a2dda1e0bd84465MD54THUMBNAILDIS_PPGEE_2017_SAUSEN_JORDAN.pdf.jpgDIS_PPGEE_2017_SAUSEN_JORDAN.pdf.jpgIM Thumbnailimage/jpeg4502http://repositorio.ufsm.br/bitstream/1/14679/5/DIS_PPGEE_2017_SAUSEN_JORDAN.pdf.jpgff44f1a8dfe817b00b524aefb1f350a3MD551/146792018-10-25 15:01:03.008oai:repositorio.ufsm.br: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ório Institucionalhttp://repositorio.ufsm.br/PUBhttp://repositorio.ufsm.br/oai/requestopendoar:39132018-10-25T18:01:03Manancial - Repositório Digital da UFSM - Universidade Federal de Santa Maria (UFSM)false |
dc.title.por.fl_str_mv |
Análise do carregamento de veículos elétricos na curva de carga do transformador de distribuição |
dc.title.alternative.eng.fl_str_mv |
Analysis of electric vehicle battery charging on distribution transformer load curve |
title |
Análise do carregamento de veículos elétricos na curva de carga do transformador de distribuição |
spellingShingle |
Análise do carregamento de veículos elétricos na curva de carga do transformador de distribuição Sausen, Jordan Passinato Apoio a decisão Veículos elétricos Transformador de distribuição Curva de carga Distribuição normal Método de Monte Carlo Decision support Distribution transformer Electric vehicle Load curve Monte Carlo method Normal distribution CNPQ::ENGENHARIAS::ENGENHARIA ELETRICA |
title_short |
Análise do carregamento de veículos elétricos na curva de carga do transformador de distribuição |
title_full |
Análise do carregamento de veículos elétricos na curva de carga do transformador de distribuição |
title_fullStr |
Análise do carregamento de veículos elétricos na curva de carga do transformador de distribuição |
title_full_unstemmed |
Análise do carregamento de veículos elétricos na curva de carga do transformador de distribuição |
title_sort |
Análise do carregamento de veículos elétricos na curva de carga do transformador de distribuição |
author |
Sausen, Jordan Passinato |
author_facet |
Sausen, Jordan Passinato |
author_role |
author |
dc.contributor.advisor1.fl_str_mv |
Abaide, Alzenira da Rosa |
dc.contributor.advisor1Lattes.fl_str_mv |
http://lattes.cnpq.br/2427825596072142 |
dc.contributor.referee1.fl_str_mv |
Pfitscher, Luciano Lopes |
dc.contributor.referee1Lattes.fl_str_mv |
http://lattes.cnpq.br/9139352677011006 |
dc.contributor.referee2.fl_str_mv |
Barin, Alexandre |
dc.contributor.referee2Lattes.fl_str_mv |
http://lattes.cnpq.br/2477477379031706 |
dc.contributor.authorLattes.fl_str_mv |
http://lattes.cnpq.br/8776511917988173 |
dc.contributor.author.fl_str_mv |
Sausen, Jordan Passinato |
contributor_str_mv |
Abaide, Alzenira da Rosa Pfitscher, Luciano Lopes Barin, Alexandre |
dc.subject.por.fl_str_mv |
Apoio a decisão Veículos elétricos Transformador de distribuição Curva de carga Distribuição normal Método de Monte Carlo |
topic |
Apoio a decisão Veículos elétricos Transformador de distribuição Curva de carga Distribuição normal Método de Monte Carlo Decision support Distribution transformer Electric vehicle Load curve Monte Carlo method Normal distribution CNPQ::ENGENHARIAS::ENGENHARIA ELETRICA |
dc.subject.eng.fl_str_mv |
Decision support Distribution transformer Electric vehicle Load curve Monte Carlo method Normal distribution |
dc.subject.cnpq.fl_str_mv |
CNPQ::ENGENHARIAS::ENGENHARIA ELETRICA |
description |
The objective of this dissertation is to evaluate the insertion of Electric Vehicles (EVs) on the distribution system. Motivated by the shortage of deterministic data regarding the process of charging EVs batteries, a probabilistic methodology is proposed to estimate the requested system’s power demand. For that, energy consumption and urban mobility patterns from a pilot region are used to compose the distribution transformer load curve. The period in which the energy is requested to the system is based on the analysis of two EVs charging strategies, dumb charging and economic charging, both represented by Poisson distributions in the proposed model. While the first corresponds to the grid connection according to the driver’s usual trip recurrence time, the second is based on the hourly tariff analysis, motivating the charging at lower tariff charges, when available. The driver’s distance traveled regarding to the pilot city is estimated statistically based on the Inspection and Maintenance Program of the city of São Paulo, configured by a Normal Probability Distribution. Aggregated with charging characteristics, these distributions are intended to represent the energy demand required by electric vehicles over time, which is then added to a distribution transformer charging model. This model integrates typical load curves to the transformer, described by a probability distribution that relates the proportion of customers of each class with the average number of consumers connected to the equipment. Both demand for electric vehicles and typical consumer demand take into account the probabilistic nature of load. Therefore, the Monte Carlo method is used for both situations, which uses random variables described by probabilistic functions to estimate the EVs insertion impact. The distribution transformer load curve is evaluated based on the model’s results, regarding to the influence of different technology penetration levels, as a support tool for the decision to prioritize the investments of energy distributors. |
publishDate |
2017 |
dc.date.issued.fl_str_mv |
2017-12-04 |
dc.date.accessioned.fl_str_mv |
2018-10-25T18:01:02Z |
dc.date.available.fl_str_mv |
2018-10-25T18:01:02Z |
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/1/14679 |
url |
http://repositorio.ufsm.br/handle/1/14679 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.cnpq.fl_str_mv |
300400000007 |
dc.relation.confidence.fl_str_mv |
600 |
dc.relation.authority.fl_str_mv |
6777278d-7b2f-4400-81f8-c04c5b371ad4 5c2e14bf-d89e-4f89-9429-092e59e9121b b96cbf3d-e347-4b8b-b18b-feada1cfe280 8def59c2-c7e6-4019-924d-2917b8a589cb |
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.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 |
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 |
bitstream.url.fl_str_mv |
http://repositorio.ufsm.br/bitstream/1/14679/1/DIS_PPGEE_2017_SAUSEN_JORDAN.pdf http://repositorio.ufsm.br/bitstream/1/14679/2/license_rdf http://repositorio.ufsm.br/bitstream/1/14679/3/license.txt http://repositorio.ufsm.br/bitstream/1/14679/4/DIS_PPGEE_2017_SAUSEN_JORDAN.pdf.txt http://repositorio.ufsm.br/bitstream/1/14679/5/DIS_PPGEE_2017_SAUSEN_JORDAN.pdf.jpg |
bitstream.checksum.fl_str_mv |
efea297adfc05deba03179f4371154f5 c1efe8e24d7281448e873be30ea326ff 2f0571ecee68693bd5cd3f17c1e075df ea0b27457e380cd14a2dda1e0bd84465 ff44f1a8dfe817b00b524aefb1f350a3 |
bitstream.checksumAlgorithm.fl_str_mv |
MD5 MD5 MD5 MD5 MD5 |
repository.name.fl_str_mv |
Manancial - Repositório Digital da UFSM - Universidade Federal de Santa Maria (UFSM) |
repository.mail.fl_str_mv |
|
_version_ |
1794524399154495488 |