Increasing the Hosting Capacity for Renewable Energy in Distribution Networks
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo de conferência |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://hdl.handle.net/11449/163600 |
Resumo: | Environmental concerns and the need to decarbonize the supply side of power systems are spurring the integration of renewable energy sources (RES). Consequently, an unprecedented increase of RES, particularly photovoltaic (PV) systems, has been observed in distribution grids. However, PV generation is weather-driven, and therefore its power production peak does not necessarily coincide with the peak demand. Therefore, large amounts of cheap renew able generation are usually spilled. This paper proposes a method for optimal allocation and sizing of energy storage systems (ESSs) to increase hosting capacity of PV generation in distribution networks. Moreover, network reinforcement and capacitor bank allocation are also considered. The problem is modeled using stochastic mixed-integer linear programming in which PV generation and demand arc represented via scenarios. A 20-node test system is used to demonstrate the effectiveness of the proposed approach and to analyze the role of ESSs to improve the hosting capacity of RES. |
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Repositório Institucional da UNESP |
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Increasing the Hosting Capacity for Renewable Energy in Distribution NetworksTerms Distribution networksenergy storagemixed-integer linear programmingphotovoltaic generationstochastic optimizationEnvironmental concerns and the need to decarbonize the supply side of power systems are spurring the integration of renewable energy sources (RES). Consequently, an unprecedented increase of RES, particularly photovoltaic (PV) systems, has been observed in distribution grids. However, PV generation is weather-driven, and therefore its power production peak does not necessarily coincide with the peak demand. Therefore, large amounts of cheap renew able generation are usually spilled. This paper proposes a method for optimal allocation and sizing of energy storage systems (ESSs) to increase hosting capacity of PV generation in distribution networks. Moreover, network reinforcement and capacitor bank allocation are also considered. The problem is modeled using stochastic mixed-integer linear programming in which PV generation and demand arc represented via scenarios. A 20-node test system is used to demonstrate the effectiveness of the proposed approach and to analyze the role of ESSs to improve the hosting capacity of RES.Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Sao Paulo State Univ, Dept Elect Engn, Ilha Solteira, BrazilUniv Washington, Dept Elect Engn, Seattle, WA 98195 USAUniv Estadual Campinas, Dept Syst & Energy, Campinas, SP, BrazilSao Paulo State Univ, Dept Elect Engn, Ilha Solteira, BrazilFAPESP: 2016/10992-9IeeeUniversidade Estadual Paulista (Unesp)Univ WashingtonUniversidade Estadual de Campinas (UNICAMP)Macedo, Leonardo H. [UNESP]Franco, John F. [UNESP]Romero, Ruben [UNESP]Ortega-Vazquez, Miguel A.Rider, Marcos J.IEEE2018-11-26T17:42:42Z2018-11-26T17:42:42Z2017-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject52017 Ieee Power & Energy Society Innovative Smart Grid Technologies Conference (isgt). New York: Ieee, 5 p., 2017.http://hdl.handle.net/11449/163600WOS:000417427900051Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPeng2017 Ieee Power & Energy Society Innovative Smart Grid Technologies Conference (isgt)info:eu-repo/semantics/openAccess2024-07-04T19:11:59Zoai:repositorio.unesp.br:11449/163600Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T23:40:38.679568Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Increasing the Hosting Capacity for Renewable Energy in Distribution Networks |
title |
Increasing the Hosting Capacity for Renewable Energy in Distribution Networks |
spellingShingle |
Increasing the Hosting Capacity for Renewable Energy in Distribution Networks Macedo, Leonardo H. [UNESP] Terms Distribution networks energy storage mixed-integer linear programming photovoltaic generation stochastic optimization |
title_short |
Increasing the Hosting Capacity for Renewable Energy in Distribution Networks |
title_full |
Increasing the Hosting Capacity for Renewable Energy in Distribution Networks |
title_fullStr |
Increasing the Hosting Capacity for Renewable Energy in Distribution Networks |
title_full_unstemmed |
Increasing the Hosting Capacity for Renewable Energy in Distribution Networks |
title_sort |
Increasing the Hosting Capacity for Renewable Energy in Distribution Networks |
author |
Macedo, Leonardo H. [UNESP] |
author_facet |
Macedo, Leonardo H. [UNESP] Franco, John F. [UNESP] Romero, Ruben [UNESP] Ortega-Vazquez, Miguel A. Rider, Marcos J. IEEE |
author_role |
author |
author2 |
Franco, John F. [UNESP] Romero, Ruben [UNESP] Ortega-Vazquez, Miguel A. Rider, Marcos J. IEEE |
author2_role |
author author author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) Univ Washington Universidade Estadual de Campinas (UNICAMP) |
dc.contributor.author.fl_str_mv |
Macedo, Leonardo H. [UNESP] Franco, John F. [UNESP] Romero, Ruben [UNESP] Ortega-Vazquez, Miguel A. Rider, Marcos J. IEEE |
dc.subject.por.fl_str_mv |
Terms Distribution networks energy storage mixed-integer linear programming photovoltaic generation stochastic optimization |
topic |
Terms Distribution networks energy storage mixed-integer linear programming photovoltaic generation stochastic optimization |
description |
Environmental concerns and the need to decarbonize the supply side of power systems are spurring the integration of renewable energy sources (RES). Consequently, an unprecedented increase of RES, particularly photovoltaic (PV) systems, has been observed in distribution grids. However, PV generation is weather-driven, and therefore its power production peak does not necessarily coincide with the peak demand. Therefore, large amounts of cheap renew able generation are usually spilled. This paper proposes a method for optimal allocation and sizing of energy storage systems (ESSs) to increase hosting capacity of PV generation in distribution networks. Moreover, network reinforcement and capacitor bank allocation are also considered. The problem is modeled using stochastic mixed-integer linear programming in which PV generation and demand arc represented via scenarios. A 20-node test system is used to demonstrate the effectiveness of the proposed approach and to analyze the role of ESSs to improve the hosting capacity of RES. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-01-01 2018-11-26T17:42:42Z 2018-11-26T17:42:42Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/conferenceObject |
format |
conferenceObject |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
2017 Ieee Power & Energy Society Innovative Smart Grid Technologies Conference (isgt). New York: Ieee, 5 p., 2017. http://hdl.handle.net/11449/163600 WOS:000417427900051 |
identifier_str_mv |
2017 Ieee Power & Energy Society Innovative Smart Grid Technologies Conference (isgt). New York: Ieee, 5 p., 2017. WOS:000417427900051 |
url |
http://hdl.handle.net/11449/163600 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2017 Ieee Power & Energy Society Innovative Smart Grid Technologies Conference (isgt) |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
5 |
dc.publisher.none.fl_str_mv |
Ieee |
publisher.none.fl_str_mv |
Ieee |
dc.source.none.fl_str_mv |
Web of Science reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808129541904793600 |