Assessment of distributed generation hosting capacity of microgrids with thermal smart loads
Autor(a) principal: | |
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Data de Publicação: | 2020 |
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-Europe47291.2020.9248845 http://hdl.handle.net/11449/208221 |
Resumo: | This paper seeks to explore the problem of assessing the renewable distributed generation (DG) hosting capacity of microgrids when thermal smart loads composed of electric water heaters (EWH) interfaced with electric springs (ES) are in place. ESs are positioned to dynamically adjust the power demand of EWHs to match the DG power generation while providing reactive power compensation. A biobjective optimization model is formulated to coordinate the operation of multiple ESs in a way that maximizes the amount of connected DG and simultaneously minimizes the energy losses and consumption of voltage dependent critical loads. The expected result is a set of non-dominated solutions that shows the compromise between DG hosting capacity and energy consumption, and the advantages of using ESs to achieve those objectives. |
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Assessment of distributed generation hosting capacity of microgrids with thermal smart loadsDistributed generationDistribution systemsElectric springsMaximum hosting capacitySmart loadsThis paper seeks to explore the problem of assessing the renewable distributed generation (DG) hosting capacity of microgrids when thermal smart loads composed of electric water heaters (EWH) interfaced with electric springs (ES) are in place. ESs are positioned to dynamically adjust the power demand of EWHs to match the DG power generation while providing reactive power compensation. A biobjective optimization model is formulated to coordinate the operation of multiple ESs in a way that maximizes the amount of connected DG and simultaneously minimizes the energy losses and consumption of voltage dependent critical loads. The expected result is a set of non-dominated solutions that shows the compromise between DG hosting capacity and energy consumption, and the advantages of using ESs to achieve those objectives.Universidade Estadual Paulista UNESP Department of Electrical EngineeringUniversidade Estadual Paulista UNESP Department of Electrical EngineeringUniversidade Estadual Paulista (Unesp)Quijano, Darwin A. [UNESP]Padilha-Feltrin, Antonio [UNESP]2021-06-25T11:08:27Z2021-06-25T11:08:27Z2020-10-26info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject764-768http://dx.doi.org/10.1109/ISGT-Europe47291.2020.9248845IEEE PES Innovative Smart Grid Technologies Conference Europe, v. 2020-October, p. 764-768.http://hdl.handle.net/11449/20822110.1109/ISGT-Europe47291.2020.92488452-s2.0-85097343104Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengIEEE PES Innovative Smart Grid Technologies Conference Europeinfo:eu-repo/semantics/openAccess2021-10-23T18:56:49Zoai:repositorio.unesp.br:11449/208221Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462021-10-23T18:56:49Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Assessment of distributed generation hosting capacity of microgrids with thermal smart loads |
title |
Assessment of distributed generation hosting capacity of microgrids with thermal smart loads |
spellingShingle |
Assessment of distributed generation hosting capacity of microgrids with thermal smart loads Quijano, Darwin A. [UNESP] Distributed generation Distribution systems Electric springs Maximum hosting capacity Smart loads |
title_short |
Assessment of distributed generation hosting capacity of microgrids with thermal smart loads |
title_full |
Assessment of distributed generation hosting capacity of microgrids with thermal smart loads |
title_fullStr |
Assessment of distributed generation hosting capacity of microgrids with thermal smart loads |
title_full_unstemmed |
Assessment of distributed generation hosting capacity of microgrids with thermal smart loads |
title_sort |
Assessment of distributed generation hosting capacity of microgrids with thermal smart loads |
author |
Quijano, Darwin A. [UNESP] |
author_facet |
Quijano, Darwin A. [UNESP] Padilha-Feltrin, Antonio [UNESP] |
author_role |
author |
author2 |
Padilha-Feltrin, Antonio [UNESP] |
author2_role |
author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) |
dc.contributor.author.fl_str_mv |
Quijano, Darwin A. [UNESP] Padilha-Feltrin, Antonio [UNESP] |
dc.subject.por.fl_str_mv |
Distributed generation Distribution systems Electric springs Maximum hosting capacity Smart loads |
topic |
Distributed generation Distribution systems Electric springs Maximum hosting capacity Smart loads |
description |
This paper seeks to explore the problem of assessing the renewable distributed generation (DG) hosting capacity of microgrids when thermal smart loads composed of electric water heaters (EWH) interfaced with electric springs (ES) are in place. ESs are positioned to dynamically adjust the power demand of EWHs to match the DG power generation while providing reactive power compensation. A biobjective optimization model is formulated to coordinate the operation of multiple ESs in a way that maximizes the amount of connected DG and simultaneously minimizes the energy losses and consumption of voltage dependent critical loads. The expected result is a set of non-dominated solutions that shows the compromise between DG hosting capacity and energy consumption, and the advantages of using ESs to achieve those objectives. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-10-26 2021-06-25T11:08:27Z 2021-06-25T11:08:27Z |
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-Europe47291.2020.9248845 IEEE PES Innovative Smart Grid Technologies Conference Europe, v. 2020-October, p. 764-768. http://hdl.handle.net/11449/208221 10.1109/ISGT-Europe47291.2020.9248845 2-s2.0-85097343104 |
url |
http://dx.doi.org/10.1109/ISGT-Europe47291.2020.9248845 http://hdl.handle.net/11449/208221 |
identifier_str_mv |
IEEE PES Innovative Smart Grid Technologies Conference Europe, v. 2020-October, p. 764-768. 10.1109/ISGT-Europe47291.2020.9248845 2-s2.0-85097343104 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
IEEE PES Innovative Smart Grid Technologies Conference Europe |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
764-768 |
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_ |
1797790211505127424 |