Energy Management and Control for Islanded Microgrid Using Multi-Agents
Autor(a) principal: | |
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Data de Publicação: | 2013 |
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/NAPS.2013.6666963 http://hdl.handle.net/11449/112118 |
Resumo: | This paper presents a multi-agent system for real-time operation of simulated microgrid using the Smart-Grid Test Bed at Washington State University. The multi-agent system (MAS) was developed in JADE (Java Agent DEvelopment Framework) which is a Foundation for Intelligent Physical Agents (FIPA) compliant open source multi-agent platform. The proposed operational strategy is mainly focused on using an appropriate energy management and control strategies to improve the operation of an islanded microgrid, formed by photovoltaic (PV) solar energy, batteries and resistive and rotating machines loads. The focus is on resource management and to avoid impact on loads from abrupt variations or interruption that changes the operating conditions. The management and control of the PV system is performed in JADE, while the microgrid model is simulated in RSCAD/RTDS (Real-Time Digital Simulator). Finally, the outcome of simulation studies demonstrated the feasibility of the proposed multi-agent approach for real-time operation of a microgrid. |
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Repositório Institucional da UNESP |
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Energy Management and Control for Islanded Microgrid Using Multi-AgentsDistributed energy resourcesMicrogridMulti-agent systemReal-time digital simulatorReal-time operationPhotovoltaic power systemsThis paper presents a multi-agent system for real-time operation of simulated microgrid using the Smart-Grid Test Bed at Washington State University. The multi-agent system (MAS) was developed in JADE (Java Agent DEvelopment Framework) which is a Foundation for Intelligent Physical Agents (FIPA) compliant open source multi-agent platform. The proposed operational strategy is mainly focused on using an appropriate energy management and control strategies to improve the operation of an islanded microgrid, formed by photovoltaic (PV) solar energy, batteries and resistive and rotating machines loads. The focus is on resource management and to avoid impact on loads from abrupt variations or interruption that changes the operating conditions. The management and control of the PV system is performed in JADE, while the microgrid model is simulated in RSCAD/RTDS (Real-Time Digital Simulator). Finally, the outcome of simulation studies demonstrated the feasibility of the proposed multi-agent approach for real-time operation of a microgrid.Sao Paulo State Univ UNESP, FE IS, LEP, Ilha Solteira, SP, BrazilSao Paulo State Univ UNESP, FE IS, LEP, Ilha Solteira, SP, BrazilIeeeUniversidade Estadual Paulista (Unesp)Hernandez, Frank Ibarra [UNESP]Canesin, Carlos Alberto [UNESP]Zamora, RamonMartina, FransiskaSrivastava, Anurag K.IEEE2014-12-03T13:09:15Z2014-12-03T13:09:15Z2013-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject6http://dx.doi.org/10.1109/NAPS.2013.66669632013 North American Power Symposium (naps). New York: IEEE, 6 p., 2013.2163-4939http://hdl.handle.net/11449/112118WOS:0003329022001376427185658143370Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPeng2013 North American Power Symposium (naps)info:eu-repo/semantics/openAccess2021-10-23T12:39:34Zoai:repositorio.unesp.br:11449/112118Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462021-10-23T12:39:34Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Energy Management and Control for Islanded Microgrid Using Multi-Agents |
title |
Energy Management and Control for Islanded Microgrid Using Multi-Agents |
spellingShingle |
Energy Management and Control for Islanded Microgrid Using Multi-Agents Hernandez, Frank Ibarra [UNESP] Distributed energy resources Microgrid Multi-agent system Real-time digital simulator Real-time operation Photovoltaic power systems |
title_short |
Energy Management and Control for Islanded Microgrid Using Multi-Agents |
title_full |
Energy Management and Control for Islanded Microgrid Using Multi-Agents |
title_fullStr |
Energy Management and Control for Islanded Microgrid Using Multi-Agents |
title_full_unstemmed |
Energy Management and Control for Islanded Microgrid Using Multi-Agents |
title_sort |
Energy Management and Control for Islanded Microgrid Using Multi-Agents |
author |
Hernandez, Frank Ibarra [UNESP] |
author_facet |
Hernandez, Frank Ibarra [UNESP] Canesin, Carlos Alberto [UNESP] Zamora, Ramon Martina, Fransiska Srivastava, Anurag K. IEEE |
author_role |
author |
author2 |
Canesin, Carlos Alberto [UNESP] Zamora, Ramon Martina, Fransiska Srivastava, Anurag K. IEEE |
author2_role |
author author author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) |
dc.contributor.author.fl_str_mv |
Hernandez, Frank Ibarra [UNESP] Canesin, Carlos Alberto [UNESP] Zamora, Ramon Martina, Fransiska Srivastava, Anurag K. IEEE |
dc.subject.por.fl_str_mv |
Distributed energy resources Microgrid Multi-agent system Real-time digital simulator Real-time operation Photovoltaic power systems |
topic |
Distributed energy resources Microgrid Multi-agent system Real-time digital simulator Real-time operation Photovoltaic power systems |
description |
This paper presents a multi-agent system for real-time operation of simulated microgrid using the Smart-Grid Test Bed at Washington State University. The multi-agent system (MAS) was developed in JADE (Java Agent DEvelopment Framework) which is a Foundation for Intelligent Physical Agents (FIPA) compliant open source multi-agent platform. The proposed operational strategy is mainly focused on using an appropriate energy management and control strategies to improve the operation of an islanded microgrid, formed by photovoltaic (PV) solar energy, batteries and resistive and rotating machines loads. The focus is on resource management and to avoid impact on loads from abrupt variations or interruption that changes the operating conditions. The management and control of the PV system is performed in JADE, while the microgrid model is simulated in RSCAD/RTDS (Real-Time Digital Simulator). Finally, the outcome of simulation studies demonstrated the feasibility of the proposed multi-agent approach for real-time operation of a microgrid. |
publishDate |
2013 |
dc.date.none.fl_str_mv |
2013-01-01 2014-12-03T13:09:15Z 2014-12-03T13:09:15Z |
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/NAPS.2013.6666963 2013 North American Power Symposium (naps). New York: IEEE, 6 p., 2013. 2163-4939 http://hdl.handle.net/11449/112118 WOS:000332902200137 6427185658143370 |
url |
http://dx.doi.org/10.1109/NAPS.2013.6666963 http://hdl.handle.net/11449/112118 |
identifier_str_mv |
2013 North American Power Symposium (naps). New York: IEEE, 6 p., 2013. 2163-4939 WOS:000332902200137 6427185658143370 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2013 North American Power Symposium (naps) |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
6 |
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_ |
1799964523580358656 |