Assessment of Distributed Generation Hosting Capacity of Microgrids with Thermal Smart Loads

Detalhes bibliográficos
Autor(a) principal: Quijano, Darwin A. [UNESP]
Data de Publicação: 2020
Outros Autores: Padilha-Feltrin, Antonio [UNESP], IEEE
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://hdl.handle.net/11449/218814
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.
id UNSP_8f22a96b3dddde97ce32d91aedaf8b82
oai_identifier_str oai:repositorio.unesp.br:11449/218814
network_acronym_str UNSP
network_name_str Repositório Institucional da UNESP
repository_id_str 2946
spelling Assessment of Distributed Generation Hosting Capacity of Microgrids with Thermal Smart LoadsDistributed generationelectric springsmaximum hosting capacitysmart loadsdistribution systemsThis 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.Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Univ Estadual Paulista UNESP, Dept Elect Engn, Ilha Solteira, SP, BrazilUniv Estadual Paulista UNESP, Dept Elect Engn, Ilha Solteira, SP, BrazilFAPESP: 2018/06451-8FAPESP: 2015/21972-6CNPq: 307281/2016-7IeeeUniversidade Estadual Paulista (UNESP)Quijano, Darwin A. [UNESP]Padilha-Feltrin, Antonio [UNESP]IEEE2022-04-28T17:23:13Z2022-04-28T17:23:13Z2020-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject764-7682020 Ieee Pes Innovative Smart Grid Technologies Europe (isgt-europe 2020): Smart Grids: Key Enablers Of A Green Power System. New York: Ieee, p. 764-768, 2020.2165-4816http://hdl.handle.net/11449/218814WOS:000758439100149Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPeng2020 Ieee Pes Innovative Smart Grid Technologies Europe (isgt-europe 2020): Smart Grids: Key Enablers Of A Green Power Systeminfo:eu-repo/semantics/openAccess2024-07-04T19:11:44Zoai:repositorio.unesp.br:11449/218814Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T19:37:30.903376Repositório 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
electric springs
maximum hosting capacity
smart loads
distribution systems
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]
IEEE
author_role author
author2 Padilha-Feltrin, Antonio [UNESP]
IEEE
author2_role author
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]
IEEE
dc.subject.por.fl_str_mv Distributed generation
electric springs
maximum hosting capacity
smart loads
distribution systems
topic Distributed generation
electric springs
maximum hosting capacity
smart loads
distribution systems
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 2020-01-01
2022-04-28T17:23:13Z
2022-04-28T17:23:13Z
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 2020 Ieee Pes Innovative Smart Grid Technologies Europe (isgt-europe 2020): Smart Grids: Key Enablers Of A Green Power System. New York: Ieee, p. 764-768, 2020.
2165-4816
http://hdl.handle.net/11449/218814
WOS:000758439100149
identifier_str_mv 2020 Ieee Pes Innovative Smart Grid Technologies Europe (isgt-europe 2020): Smart Grids: Key Enablers Of A Green Power System. New York: Ieee, p. 764-768, 2020.
2165-4816
WOS:000758439100149
url http://hdl.handle.net/11449/218814
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2020 Ieee Pes Innovative Smart Grid Technologies Europe (isgt-europe 2020): Smart Grids: Key Enablers Of A Green Power System
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.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_ 1808129097509896192

Registros relacionados