Modeling Battery Energy Storage System operating in DC microgrid with DAB converter
Autor(a) principal: | |
---|---|
Data de Publicação: | 2019 |
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/COBEP/SPEC44138.2019.9065669 http://hdl.handle.net/11449/201772 |
Resumo: | This paper presents a computational model for studying the energy flow at the integration of a battery bank (BB) to a DC microgrid, through the use of the Dual Active Bridge (DAB) converter. The one time constant model was adopted for the battery, with its parameters obtained through exponential regression by the Least Squares method, through its hysteresis curve between terminal voltage and load level percentage. The curve was synthesized by data collected from a LiFeYPO4 reference battery. The DAB converter was controlled by the Phase-Shift modulation technique. The converter power management occurs through a state machine, which defines the conditions of energy flow between the microgrid and the energy storage system. This paper has educational aims for the study of energy flow at the integration of BB into DC microgrids. |
id |
UNSP_35414eefa5d2e36bebeca16de3a5aa7c |
---|---|
oai_identifier_str |
oai:repositorio.unesp.br:11449/201772 |
network_acronym_str |
UNSP |
network_name_str |
Repositório Institucional da UNESP |
repository_id_str |
2946 |
spelling |
Modeling Battery Energy Storage System operating in DC microgrid with DAB converterBattery BanksDABDC MicrogridState MachinesThis paper presents a computational model for studying the energy flow at the integration of a battery bank (BB) to a DC microgrid, through the use of the Dual Active Bridge (DAB) converter. The one time constant model was adopted for the battery, with its parameters obtained through exponential regression by the Least Squares method, through its hysteresis curve between terminal voltage and load level percentage. The curve was synthesized by data collected from a LiFeYPO4 reference battery. The DAB converter was controlled by the Phase-Shift modulation technique. The converter power management occurs through a state machine, which defines the conditions of energy flow between the microgrid and the energy storage system. This paper has educational aims for the study of energy flow at the integration of BB into DC microgrids.UNESP - Instituto de Ciência e Tecnologia de SorocabaEmerson Process Management ABUNESP - Instituto de Ciência e Tecnologia de SorocabaUniversidade Estadual Paulista (Unesp)Emerson Process Management ABSantos, Rafael Dos [UNESP]Goncalves, Flavio A. S. [UNESP]Olimpio Filho, Jose A. [UNESP]Marafao, Fernando P. [UNESP]Gil, Eric2020-12-12T02:41:24Z2020-12-12T02:41:24Z2019-12-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjecthttp://dx.doi.org/10.1109/COBEP/SPEC44138.2019.90656692019 IEEE 15th Brazilian Power Electronics Conference and 5th IEEE Southern Power Electronics Conference, COBEP/SPEC 2019.http://hdl.handle.net/11449/20177210.1109/COBEP/SPEC44138.2019.90656692-s2.0-85084930890Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPeng2019 IEEE 15th Brazilian Power Electronics Conference and 5th IEEE Southern Power Electronics Conference, COBEP/SPEC 2019info:eu-repo/semantics/openAccess2021-10-22T21:54:17Zoai:repositorio.unesp.br:11449/201772Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T18:19:34.219431Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Modeling Battery Energy Storage System operating in DC microgrid with DAB converter |
title |
Modeling Battery Energy Storage System operating in DC microgrid with DAB converter |
spellingShingle |
Modeling Battery Energy Storage System operating in DC microgrid with DAB converter Santos, Rafael Dos [UNESP] Battery Banks DAB DC Microgrid State Machines |
title_short |
Modeling Battery Energy Storage System operating in DC microgrid with DAB converter |
title_full |
Modeling Battery Energy Storage System operating in DC microgrid with DAB converter |
title_fullStr |
Modeling Battery Energy Storage System operating in DC microgrid with DAB converter |
title_full_unstemmed |
Modeling Battery Energy Storage System operating in DC microgrid with DAB converter |
title_sort |
Modeling Battery Energy Storage System operating in DC microgrid with DAB converter |
author |
Santos, Rafael Dos [UNESP] |
author_facet |
Santos, Rafael Dos [UNESP] Goncalves, Flavio A. S. [UNESP] Olimpio Filho, Jose A. [UNESP] Marafao, Fernando P. [UNESP] Gil, Eric |
author_role |
author |
author2 |
Goncalves, Flavio A. S. [UNESP] Olimpio Filho, Jose A. [UNESP] Marafao, Fernando P. [UNESP] Gil, Eric |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) Emerson Process Management AB |
dc.contributor.author.fl_str_mv |
Santos, Rafael Dos [UNESP] Goncalves, Flavio A. S. [UNESP] Olimpio Filho, Jose A. [UNESP] Marafao, Fernando P. [UNESP] Gil, Eric |
dc.subject.por.fl_str_mv |
Battery Banks DAB DC Microgrid State Machines |
topic |
Battery Banks DAB DC Microgrid State Machines |
description |
This paper presents a computational model for studying the energy flow at the integration of a battery bank (BB) to a DC microgrid, through the use of the Dual Active Bridge (DAB) converter. The one time constant model was adopted for the battery, with its parameters obtained through exponential regression by the Least Squares method, through its hysteresis curve between terminal voltage and load level percentage. The curve was synthesized by data collected from a LiFeYPO4 reference battery. The DAB converter was controlled by the Phase-Shift modulation technique. The converter power management occurs through a state machine, which defines the conditions of energy flow between the microgrid and the energy storage system. This paper has educational aims for the study of energy flow at the integration of BB into DC microgrids. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-12-01 2020-12-12T02:41:24Z 2020-12-12T02:41:24Z |
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/COBEP/SPEC44138.2019.9065669 2019 IEEE 15th Brazilian Power Electronics Conference and 5th IEEE Southern Power Electronics Conference, COBEP/SPEC 2019. http://hdl.handle.net/11449/201772 10.1109/COBEP/SPEC44138.2019.9065669 2-s2.0-85084930890 |
url |
http://dx.doi.org/10.1109/COBEP/SPEC44138.2019.9065669 http://hdl.handle.net/11449/201772 |
identifier_str_mv |
2019 IEEE 15th Brazilian Power Electronics Conference and 5th IEEE Southern Power Electronics Conference, COBEP/SPEC 2019. 10.1109/COBEP/SPEC44138.2019.9065669 2-s2.0-85084930890 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2019 IEEE 15th Brazilian Power Electronics Conference and 5th IEEE Southern Power Electronics Conference, COBEP/SPEC 2019 |
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_ |
1808128920161091584 |