Optimal operation of storage systems in distribution networks considering battery degradation
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , |
Tipo de documento: | Artigo de conferência |
Idioma: | por |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1109/SBSE.2018.8395575 http://hdl.handle.net/11449/232772 |
Resumo: | Energy storage systems are lauded solutions for integrating the ever-increasing amounts of renewable energy sources in distribution networks. Electrochemical batteries, principally lithium-ion based, are among the most promising storage technologies for these applications due their high energy densities, capacities, and efficiencies. The operation of these energy storage resources must be optimized since every charge/discharge cycle wears the battery and reduces its lifespan. This paper presents a stochastic second-order cone programming model, that considers the AC power flow equations, for optimizing the operation of battery storage systems in distribution networks, taking into account their degradation characteristics explicitly. A 33-node distribution network is used to demonstrate the effectiveness of the proposed method. Results also demonstrate the importance of including the degradation characteristics in the model, in order to attain solutions that strike a balance between operating costs and the benefits of prolonging the lifespan of the batteries. |
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Optimal operation of storage systems in distribution networks considering battery degradationBattery storage systemsDistribution networksPhotovoltaic generationSecond-order cone programmingStochastic optimizationEnergy storage systems are lauded solutions for integrating the ever-increasing amounts of renewable energy sources in distribution networks. Electrochemical batteries, principally lithium-ion based, are among the most promising storage technologies for these applications due their high energy densities, capacities, and efficiencies. The operation of these energy storage resources must be optimized since every charge/discharge cycle wears the battery and reduces its lifespan. This paper presents a stochastic second-order cone programming model, that considers the AC power flow equations, for optimizing the operation of battery storage systems in distribution networks, taking into account their degradation characteristics explicitly. A 33-node distribution network is used to demonstrate the effectiveness of the proposed method. Results also demonstrate the importance of including the degradation characteristics in the model, in order to attain solutions that strike a balance between operating costs and the benefits of prolonging the lifespan of the batteries.Department of Electrical Engineering São Paulo State UniversityGrid Operations and Planning Electric Power Research InstituteDepartment of Electrical Engineering São Paulo State UniversityUniversidade Estadual Paulista (UNESP)Grid Operations and Planning Electric Power Research InstituteMacedo, Leonardo H. [UNESP]Ortega-Vazquez, Miguel A.Romero, Ruben [UNESP]2022-04-30T10:59:36Z2022-04-30T10:59:36Z2018-06-25info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject1-6http://dx.doi.org/10.1109/SBSE.2018.8395575SBSE 2018 - 7th Brazilian Electrical Systems Symposium, p. 1-6.http://hdl.handle.net/11449/23277210.1109/SBSE.2018.83955752-s2.0-85050218427Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPporSBSE 2018 - 7th Brazilian Electrical Systems Symposiuminfo:eu-repo/semantics/openAccess2024-07-04T19:11:39Zoai:repositorio.unesp.br:11449/232772Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T18:56:45.992575Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Optimal operation of storage systems in distribution networks considering battery degradation |
title |
Optimal operation of storage systems in distribution networks considering battery degradation |
spellingShingle |
Optimal operation of storage systems in distribution networks considering battery degradation Macedo, Leonardo H. [UNESP] Battery storage systems Distribution networks Photovoltaic generation Second-order cone programming Stochastic optimization |
title_short |
Optimal operation of storage systems in distribution networks considering battery degradation |
title_full |
Optimal operation of storage systems in distribution networks considering battery degradation |
title_fullStr |
Optimal operation of storage systems in distribution networks considering battery degradation |
title_full_unstemmed |
Optimal operation of storage systems in distribution networks considering battery degradation |
title_sort |
Optimal operation of storage systems in distribution networks considering battery degradation |
author |
Macedo, Leonardo H. [UNESP] |
author_facet |
Macedo, Leonardo H. [UNESP] Ortega-Vazquez, Miguel A. Romero, Ruben [UNESP] |
author_role |
author |
author2 |
Ortega-Vazquez, Miguel A. Romero, Ruben [UNESP] |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (UNESP) Grid Operations and Planning Electric Power Research Institute |
dc.contributor.author.fl_str_mv |
Macedo, Leonardo H. [UNESP] Ortega-Vazquez, Miguel A. Romero, Ruben [UNESP] |
dc.subject.por.fl_str_mv |
Battery storage systems Distribution networks Photovoltaic generation Second-order cone programming Stochastic optimization |
topic |
Battery storage systems Distribution networks Photovoltaic generation Second-order cone programming Stochastic optimization |
description |
Energy storage systems are lauded solutions for integrating the ever-increasing amounts of renewable energy sources in distribution networks. Electrochemical batteries, principally lithium-ion based, are among the most promising storage technologies for these applications due their high energy densities, capacities, and efficiencies. The operation of these energy storage resources must be optimized since every charge/discharge cycle wears the battery and reduces its lifespan. This paper presents a stochastic second-order cone programming model, that considers the AC power flow equations, for optimizing the operation of battery storage systems in distribution networks, taking into account their degradation characteristics explicitly. A 33-node distribution network is used to demonstrate the effectiveness of the proposed method. Results also demonstrate the importance of including the degradation characteristics in the model, in order to attain solutions that strike a balance between operating costs and the benefits of prolonging the lifespan of the batteries. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-06-25 2022-04-30T10:59:36Z 2022-04-30T10:59:36Z |
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/SBSE.2018.8395575 SBSE 2018 - 7th Brazilian Electrical Systems Symposium, p. 1-6. http://hdl.handle.net/11449/232772 10.1109/SBSE.2018.8395575 2-s2.0-85050218427 |
url |
http://dx.doi.org/10.1109/SBSE.2018.8395575 http://hdl.handle.net/11449/232772 |
identifier_str_mv |
SBSE 2018 - 7th Brazilian Electrical Systems Symposium, p. 1-6. 10.1109/SBSE.2018.8395575 2-s2.0-85050218427 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
SBSE 2018 - 7th Brazilian Electrical Systems Symposium |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
1-6 |
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_ |
1808129001175121920 |