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://dx.doi.org/10.1109/ISGT.2017.8086006 http://hdl.handle.net/11449/232700 |
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 renewable 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 are 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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Increasing the hosting capacity for renewable energy in distribution networksDistribution 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 renewable 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 are 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.Department of Electrical Engineering Sao Paulo State UniversityDepartment of Electrical Engineering University of WashingtonDepartment of Systems and Energy University of CampinasDepartment of Electrical Engineering Sao Paulo State UniversityUniversidade Estadual Paulista (UNESP)University of WashingtonUniversidade Estadual de Campinas (UNICAMP)MacEdo, Leonardo H. [UNESP]Franco, John F. [UNESP]Romero, Ruben [UNESP]Ortega-Vazquez, Miguel A.Rider, Marcos J.2022-04-30T05:15:59Z2022-04-30T05:15:59Z2017-10-26info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjecthttp://dx.doi.org/10.1109/ISGT.2017.80860062017 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2017.http://hdl.handle.net/11449/23270010.1109/ISGT.2017.80860062-s2.0-85040166302Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPeng2017 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2017info:eu-repo/semantics/openAccess2022-04-30T05:15:59Zoai:repositorio.unesp.br:11449/232700Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462022-04-30T05:15:59Repositório 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] 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. |
author_role |
author |
author2 |
Franco, John F. [UNESP] Romero, Ruben [UNESP] Ortega-Vazquez, Miguel A. Rider, Marcos J. |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (UNESP) University of 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. |
dc.subject.por.fl_str_mv |
Distribution networks Energy storage Mixed-integer linear programming Photovoltaic generation Stochastic optimization |
topic |
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 renewable 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 are 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 |
2017-10-26 2022-04-30T05:15:59Z 2022-04-30T05:15:59Z |
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 |
http://dx.doi.org/10.1109/ISGT.2017.8086006 2017 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2017. http://hdl.handle.net/11449/232700 10.1109/ISGT.2017.8086006 2-s2.0-85040166302 |
url |
http://dx.doi.org/10.1109/ISGT.2017.8086006 http://hdl.handle.net/11449/232700 |
identifier_str_mv |
2017 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2017. 10.1109/ISGT.2017.8086006 2-s2.0-85040166302 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2017 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2017 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
Scopus 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_ |
1803046180725194752 |