Optimal Operation of an Urban Microgrid Using Model Predictive Control Considering Power Quality Improvements
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Brazilian Archives of Biology and Technology |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132021000200219 |
Resumo: | Abstract Microgrids have been widely applied to improve the energy quality parameters of a distribution system locally, in addition to ensuring the operation of the system in an isolated manner. The Model Predictive Control (MPC) is a great solution to guarantee the operation of the system considering forecasting models and also physical restrictions of the system, which ensure the optimal operation of the Microgrid. However, the construction of a control scheme following the objectives established in order to meet the connected and isolated operation of a Microgrid is still a challenge. This paper proposes the development of an MPC control scheme that assures optimal system operation in connected and islanded mode, improving power quality indexes, ensuring network requirements, and extending battery life cycle. The proposed control operation in the connected mode can attend to the needs of the Microgrid, reducing the impacts of peak demand and the intermittent variations in renewable generation, where a linear objective function is developed for this purpose. In the islanded mode, grid requirements are guaranteed through load shedding, considering improvements in continuity indicators. Forecasting models are implemented considering the MPC approach and a detailed network model is developed. Simulation results highlight the effectiveness of the proposed control strategy. |
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Brazilian Archives of Biology and Technology |
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Optimal Operation of an Urban Microgrid Using Model Predictive Control Considering Power Quality ImprovementsMicrogridsMPC controlPower QualityAbstract Microgrids have been widely applied to improve the energy quality parameters of a distribution system locally, in addition to ensuring the operation of the system in an isolated manner. The Model Predictive Control (MPC) is a great solution to guarantee the operation of the system considering forecasting models and also physical restrictions of the system, which ensure the optimal operation of the Microgrid. However, the construction of a control scheme following the objectives established in order to meet the connected and isolated operation of a Microgrid is still a challenge. This paper proposes the development of an MPC control scheme that assures optimal system operation in connected and islanded mode, improving power quality indexes, ensuring network requirements, and extending battery life cycle. The proposed control operation in the connected mode can attend to the needs of the Microgrid, reducing the impacts of peak demand and the intermittent variations in renewable generation, where a linear objective function is developed for this purpose. In the islanded mode, grid requirements are guaranteed through load shedding, considering improvements in continuity indicators. Forecasting models are implemented considering the MPC approach and a detailed network model is developed. Simulation results highlight the effectiveness of the proposed control strategy.Instituto de Tecnologia do Paraná - Tecpar2021-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132021000200219Brazilian Archives of Biology and Technology v.64 n.spe 2021reponame:Brazilian Archives of Biology and Technologyinstname:Instituto de Tecnologia do Paraná (Tecpar)instacron:TECPAR10.1590/1678-4324-75years-2021210156info:eu-repo/semantics/openAccessPerez,FilipeLópez-Salamanca,Henry LeonardoMedeiros,Lúcio deSchumacher,RicardoFuchs,LeonardoRoesler,Pedro HenriquePedretti,Andréeng2021-08-11T00:00:00Zoai:scielo:S1516-89132021000200219Revistahttps://www.scielo.br/j/babt/https://old.scielo.br/oai/scielo-oai.phpbabt@tecpar.br||babt@tecpar.br1678-43241516-8913opendoar:2021-08-11T00:00Brazilian Archives of Biology and Technology - Instituto de Tecnologia do Paraná (Tecpar)false |
dc.title.none.fl_str_mv |
Optimal Operation of an Urban Microgrid Using Model Predictive Control Considering Power Quality Improvements |
title |
Optimal Operation of an Urban Microgrid Using Model Predictive Control Considering Power Quality Improvements |
spellingShingle |
Optimal Operation of an Urban Microgrid Using Model Predictive Control Considering Power Quality Improvements Perez,Filipe Microgrids MPC control Power Quality |
title_short |
Optimal Operation of an Urban Microgrid Using Model Predictive Control Considering Power Quality Improvements |
title_full |
Optimal Operation of an Urban Microgrid Using Model Predictive Control Considering Power Quality Improvements |
title_fullStr |
Optimal Operation of an Urban Microgrid Using Model Predictive Control Considering Power Quality Improvements |
title_full_unstemmed |
Optimal Operation of an Urban Microgrid Using Model Predictive Control Considering Power Quality Improvements |
title_sort |
Optimal Operation of an Urban Microgrid Using Model Predictive Control Considering Power Quality Improvements |
author |
Perez,Filipe |
author_facet |
Perez,Filipe López-Salamanca,Henry Leonardo Medeiros,Lúcio de Schumacher,Ricardo Fuchs,Leonardo Roesler,Pedro Henrique Pedretti,André |
author_role |
author |
author2 |
López-Salamanca,Henry Leonardo Medeiros,Lúcio de Schumacher,Ricardo Fuchs,Leonardo Roesler,Pedro Henrique Pedretti,André |
author2_role |
author author author author author author |
dc.contributor.author.fl_str_mv |
Perez,Filipe López-Salamanca,Henry Leonardo Medeiros,Lúcio de Schumacher,Ricardo Fuchs,Leonardo Roesler,Pedro Henrique Pedretti,André |
dc.subject.por.fl_str_mv |
Microgrids MPC control Power Quality |
topic |
Microgrids MPC control Power Quality |
description |
Abstract Microgrids have been widely applied to improve the energy quality parameters of a distribution system locally, in addition to ensuring the operation of the system in an isolated manner. The Model Predictive Control (MPC) is a great solution to guarantee the operation of the system considering forecasting models and also physical restrictions of the system, which ensure the optimal operation of the Microgrid. However, the construction of a control scheme following the objectives established in order to meet the connected and isolated operation of a Microgrid is still a challenge. This paper proposes the development of an MPC control scheme that assures optimal system operation in connected and islanded mode, improving power quality indexes, ensuring network requirements, and extending battery life cycle. The proposed control operation in the connected mode can attend to the needs of the Microgrid, reducing the impacts of peak demand and the intermittent variations in renewable generation, where a linear objective function is developed for this purpose. In the islanded mode, grid requirements are guaranteed through load shedding, considering improvements in continuity indicators. Forecasting models are implemented considering the MPC approach and a detailed network model is developed. Simulation results highlight the effectiveness of the proposed control strategy. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-01-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132021000200219 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132021000200219 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/1678-4324-75years-2021210156 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Instituto de Tecnologia do Paraná - Tecpar |
publisher.none.fl_str_mv |
Instituto de Tecnologia do Paraná - Tecpar |
dc.source.none.fl_str_mv |
Brazilian Archives of Biology and Technology v.64 n.spe 2021 reponame:Brazilian Archives of Biology and Technology instname:Instituto de Tecnologia do Paraná (Tecpar) instacron:TECPAR |
instname_str |
Instituto de Tecnologia do Paraná (Tecpar) |
instacron_str |
TECPAR |
institution |
TECPAR |
reponame_str |
Brazilian Archives of Biology and Technology |
collection |
Brazilian Archives of Biology and Technology |
repository.name.fl_str_mv |
Brazilian Archives of Biology and Technology - Instituto de Tecnologia do Paraná (Tecpar) |
repository.mail.fl_str_mv |
babt@tecpar.br||babt@tecpar.br |
_version_ |
1750318280991571968 |