Hierarchical energy management system based on fuzzy prediction intervals for operation and coordination of microgrids

The integration of large numbers of Distributed Energy Resources (DERs) into the distribution system could take place either by reinforcement of the existing network assets, or the incorporation of active management of flexible resources into different sections of the distribution network. For activ...

Descripción completa

Detalles Bibliográficos
Autor: Marín Collazos, Luis Gabriel
Tipo de recurso: tesis doctoral
Estado:Versión publicada
Fecha de publicación:2018
País:Chile
OAI Identifier:oai:repositorio.anid.cl:10533/232991
Acceso en línea:https://hdl.handle.net/10533/232991
Access Level:acceso abierto
Palabra clave:Ingeniería y Tecnología
Ingeniería Eléctrica, Ingeniería Electrónica, Informática
Ingeniería Eléctrica y Electrónica
id CL_0d16d832fdf2657a3dbd3cb2c7985c62
oai_identifier_str oai:repositorio.anid.cl:10533/232991
network_acronym_str CL
network_name_str Chile
repository_id_str
dc.title.es_CL.fl_str_mv Hierarchical energy management system based on fuzzy prediction intervals for operation and coordination of microgrids
title Hierarchical energy management system based on fuzzy prediction intervals for operation and coordination of microgrids
spellingShingle Hierarchical energy management system based on fuzzy prediction intervals for operation and coordination of microgrids
Marín Collazos, Luis Gabriel
Ingeniería y Tecnología
Ingeniería Eléctrica, Ingeniería Electrónica, Informática
Ingeniería Eléctrica y Electrónica
title_short Hierarchical energy management system based on fuzzy prediction intervals for operation and coordination of microgrids
title_full Hierarchical energy management system based on fuzzy prediction intervals for operation and coordination of microgrids
title_fullStr Hierarchical energy management system based on fuzzy prediction intervals for operation and coordination of microgrids
title_full_unstemmed Hierarchical energy management system based on fuzzy prediction intervals for operation and coordination of microgrids
title_sort Hierarchical energy management system based on fuzzy prediction intervals for operation and coordination of microgrids
dc.creator.none.fl_str_mv Marín Collazos, Luis Gabriel
author Marín Collazos, Luis Gabriel
author_facet Marín Collazos, Luis Gabriel
author_role author
dc.contributor.advisor.none.fl_str_mv Sáez Hueichapan, Doris
dc.contributor.institution.es_CL.fl_str_mv UNIVERSIDAD DE CHILE
dc.subject.oecd1n.es_CL.fl_str_mv Ingeniería y Tecnología
topic Ingeniería y Tecnología
Ingeniería Eléctrica, Ingeniería Electrónica, Informática
Ingeniería Eléctrica y Electrónica
dc.subject.oecd2n.es_CL.fl_str_mv Ingeniería Eléctrica, Ingeniería Electrónica, Informática
dc.subject.oecd3n.es_CL.fl_str_mv Ingeniería Eléctrica y Electrónica
description The integration of large numbers of Distributed Energy Resources (DERs) into the distribution system could take place either by reinforcement of the existing network assets, or the incorporation of active management of flexible resources into different sections of the distribution network. For active management of a distribution network, the design of control strategies is necessary for an efficient and reliable large-scale integration of DERs. Besides the benefit of supporting the use of renewable energy sources, DERs play an important role in improving the resilience and sustainability of the electricity distribution system and also in the generation of new market opportunities. In this thesis, the active management of DERs is proposed using a hierarchical energy management system (EMS) applied to "Energy Communities". Energy communities are a concept which allows different end users to cooperate in their energy interactions with the aim of maximising their self-consumption, minimising energy costs, reducing peak power levels or a combination of these and other beneficial goals as well. The hierarchical EMS proposed allows incorporating mechanisms to ensure both the realisation of short-term power balancing objectives and long-term energy management, benefiting the microgrid owner and the distribution network operator. The hierarchical EMS is designed in two levels: main grid level and microgrid level. At the microgrid level, a real-time local rule-based controller is proposed and at the higher level, a Robust model predictive control (MPC) is used to manage the uncertainty associated with renewable distributed generation and electricity demand. The uncertainty is incorporated into the Robust MPC controller based on fuzzy prediction interval models in order to help the system to be prepared for errors in the predictions that might yield sub-optimal decisions. Several case studies are used to test the performance of the hierarchical EMS for the operation and coordination of microgrids. Robust EMS based on fuzzy prediction interval models is compared to the deterministic EMS and with a basic EMS without energy storage system (ESS). The results show that the deterministic and Robust EMSs provide improvements over the case without ESS, as they offer mechanisms for efficient energy management. The incorporation of an ESS into the energy community benefits both the end user, by reducing energy cost, and the distribution network operator, by limiting the peak power levels and enabling increased penetration of distributed generation (DG). Additionally, the hierarchical EMS is able to keep the community power flow close to the reference power defined by the higher level controller with minimum energy cost, among other benefits. Finally, end users operating as Energy Communities can optimise the use of DG and the size of the ESS required.
publishDate 2018
dc.date.issued.es_CL.fl_str_mv 2018
dc.date.accessioned.none.fl_str_mv 2019-03-12T20:06:28Z
2022-08-16T20:07:37Z
dc.date.available.none.fl_str_mv 2019-03-12T20:06:28Z
2022-08-16T20:07:37Z
dc.type.none.fl_str_mv Tesis Doctorado
dc.type.driver.es_CL.fl_str_mv info:eu-repo/semantics/doctoralThesis
dc.type.openaire.none.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.tesis.none.fl_str_mv Tesis
format doctoralThesis
status_str publishedVersion
dc.identifier.folio.es_CL.fl_str_mv 63140093
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/10533/232991
identifier_str_mv 63140093
url https://hdl.handle.net/10533/232991
dc.relation.none.fl_str_mv instname: Conicyt
reponame: Repositorio Digital RI2.0
dc.relation.projectid.es_CL.fl_str_mv info:eu-repo/grantAgreement//63140093
dc.relation.set.none.fl_str_mv info:eu-repo/semantics/dataset/hdl.handle.net/10533/93488
dc.rights.*.fl_str_mv info:eu-repo/semantics/openAccess
Attribution-NonCommercial-NoDerivs 3.0 Chile
dc.rights.uri.*.fl_str_mv http://creativecommons.org/licenses/by-nc-nd/3.0/cl/
eu_rights_str_mv openAccess
rights_invalid_str_mv Attribution-NonCommercial-NoDerivs 3.0 Chile
http://creativecommons.org/licenses/by-nc-nd/3.0/cl/
bitstream.url.fl_str_mv https://repositorio.anid.cl/bitstreams/52d0e863-94b8-4bcf-8406-9b6a98f5595f/download
https://repositorio.anid.cl/bitstreams/cf83996f-a038-46e8-ab14-9ba72ead1017/download
https://repositorio.anid.cl/bitstreams/5463905d-18e0-4ce8-873d-a499eef6c747/download
https://repositorio.anid.cl/bitstreams/ae58f8e0-9419-4057-b1d0-258a75f9fb19/download
https://repositorio.anid.cl/bitstreams/f4c9f645-90a6-441c-b148-e31c63689523/download
bitstream.checksum.fl_str_mv d94470e4fef79ae46fe1c9eac431b5fd
f97bcfdf58f3e17b5cec231112dab5b1
593a6e7305c66c56041a9f9e15a649c1
8ae274f28bf558115c58c49b8622535e
fbc4d2626d7401b003e2c685254830cf
bitstream.checksumAlgorithm.fl_str_mv MD5
MD5
MD5
MD5
MD5
repository.name.fl_str_mv Repositorio ANID
repository.mail.fl_str_mv aletelier@anid.cl
_version_ 1843518611326500864
spelling UNIVERSIDAD DE CHILEMarín Collazos, Luis Gabriel2018https://hdl.handle.net/10533/232991http://purl.org/coar/access_right/c_abf2Ingeniería Eléctrica y ElectrónicaIngeniería Eléctrica, Ingeniería Electrónica, InformáticaIngeniería y TecnologíaHierarchical energy management system based on fuzzy prediction intervals for operation and coordination of microgridsSáez Hueichapan, DorisUNIVERSIDAD DE CHILEChileMarín Collazos, Luis Gabriel2019-03-12T20:06:28Z2022-08-16T20:07:37Z2019-03-12T20:06:28Z2022-08-16T20:07:37Z2018The integration of large numbers of Distributed Energy Resources (DERs) into the distribution system could take place either by reinforcement of the existing network assets, or the incorporation of active management of flexible resources into different sections of the distribution network. For active management of a distribution network, the design of control strategies is necessary for an efficient and reliable large-scale integration of DERs. Besides the benefit of supporting the use of renewable energy sources, DERs play an important role in improving the resilience and sustainability of the electricity distribution system and also in the generation of new market opportunities. In this thesis, the active management of DERs is proposed using a hierarchical energy management system (EMS) applied to "Energy Communities". Energy communities are a concept which allows different end users to cooperate in their energy interactions with the aim of maximising their self-consumption, minimising energy costs, reducing peak power levels or a combination of these and other beneficial goals as well. The hierarchical EMS proposed allows incorporating mechanisms to ensure both the realisation of short-term power balancing objectives and long-term energy management, benefiting the microgrid owner and the distribution network operator. The hierarchical EMS is designed in two levels: main grid level and microgrid level. At the microgrid level, a real-time local rule-based controller is proposed and at the higher level, a Robust model predictive control (MPC) is used to manage the uncertainty associated with renewable distributed generation and electricity demand. The uncertainty is incorporated into the Robust MPC controller based on fuzzy prediction interval models in order to help the system to be prepared for errors in the predictions that might yield sub-optimal decisions. Several case studies are used to test the performance of the hierarchical EMS for the operation and coordination of microgrids. Robust EMS based on fuzzy prediction interval models is compared to the deterministic EMS and with a basic EMS without energy storage system (ESS). The results show that the deterministic and Robust EMSs provide improvements over the case without ESS, as they offer mechanisms for efficient energy management. The incorporation of an ESS into the energy community benefits both the end user, by reducing energy cost, and the distribution network operator, by limiting the peak power levels and enabling increased penetration of distributed generation (DG). Additionally, the hierarchical EMS is able to keep the community power flow close to the reference power defined by the higher level controller with minimum energy cost, among other benefits. Finally, end users operating as Energy Communities can optimise the use of DG and the size of the ESS required.PFCHA-BecasPFCHA-Becas63140093https://hdl.handle.net/10533/232991instname: Conicytreponame: Repositorio Digital RI2.0info:eu-repo/grantAgreement//63140093info:eu-repo/semantics/dataset/hdl.handle.net/10533/93488info:eu-repo/semantics/openAccessAttribution-NonCommercial-NoDerivs 3.0 Chilehttp://creativecommons.org/licenses/by-nc-nd/3.0/cl/Ingeniería y TecnologíaIngeniería Eléctrica, Ingeniería Electrónica, InformáticaIngeniería Eléctrica y ElectrónicaHierarchical energy management system based on fuzzy prediction intervals for operation and coordination of microgridsTesis Doctoradoinfo:eu-repo/semantics/doctoralThesisinfo:eu-repo/semantics/publishedVersionTesisTesishttps://hdl.handle.net/10533/232991PFCHA-Becasfd063353-def0-4d5b-8146-9fb7deb23c09virtual::56150-1fd063353-def0-4d5b-8146-9fb7deb23c09virtual::56150-1ORIGINALTesis_LGMarin.pdfapplication/pdf6649953https://repositorio.anid.cl/bitstreams/52d0e863-94b8-4bcf-8406-9b6a98f5595f/downloadd94470e4fef79ae46fe1c9eac431b5fdMD51CC-LICENSElicense_rdfapplication/octet-stream1232https://repositorio.anid.cl/bitstreams/cf83996f-a038-46e8-ab14-9ba72ead1017/downloadf97bcfdf58f3e17b5cec231112dab5b1MD52LICENSElicense.txttext/plain1779https://repositorio.anid.cl/bitstreams/5463905d-18e0-4ce8-873d-a499eef6c747/download593a6e7305c66c56041a9f9e15a649c1MD53TEXTTesis_LGMarin.pdf.txtExtracted texttext/plain251641https://repositorio.anid.cl/bitstreams/ae58f8e0-9419-4057-b1d0-258a75f9fb19/download8ae274f28bf558115c58c49b8622535eMD54THUMBNAILTesis_LGMarin.pdf.jpgIM Thumbnailimage/jpeg2390https://repositorio.anid.cl/bitstreams/f4c9f645-90a6-441c-b148-e31c63689523/downloadfbc4d2626d7401b003e2c685254830cfMD5510533/232991oai:repositorio.anid.cl:10533/2329912023-07-24 14:51:18.665http://creativecommons.org/licenses/by-nc-nd/3.0/cl/info:eu-repo/semantics/openAccesshttps://repositorio.anid.clRepositorio ANIDaletelier@anid.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
score 15,811543

Similares en LA Referencia