Optimal Modeling of Load Variations in Distribution System Reconfiguration
Autor(a) principal: | |
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Data de Publicação: | 2021 |
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/EEEIC/ICPSEurope51590.2021.9584545 http://hdl.handle.net/11449/223653 |
Resumo: | Distribution networks have a prominent role in electricity delivery to individual consumers. Nevertheless, their energy losses are higher than transmission systems, which this issue affects the distribution operational costs. Hence, the minimization of power losses in distribution networks has particular importance for the system operators. Distribution network reconfiguration (DNR) is an effective way to reduce energy losses. However, some research works regarding DNR have not considered load variations in power loss calculations. Load level has an essential role in network losses determination and significantly influences the energy losses amount. On the other hand, considering load variations in DNR increases the computational burden and processing time of the relevant algorithms. Therefore, this paper presents an effective reconfiguration framework for minimization of distribution losses, while the energy demand is changing. The simulation results show the effectiveness of the proposed strategy for optimal reconfiguration of distribution systems in presence of load variations. |
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Optimal Modeling of Load Variations in Distribution System Reconfigurationdemand variationsDistribution systemsDNRefficient reconfiguration strategyenergy lossesDistribution networks have a prominent role in electricity delivery to individual consumers. Nevertheless, their energy losses are higher than transmission systems, which this issue affects the distribution operational costs. Hence, the minimization of power losses in distribution networks has particular importance for the system operators. Distribution network reconfiguration (DNR) is an effective way to reduce energy losses. However, some research works regarding DNR have not considered load variations in power loss calculations. Load level has an essential role in network losses determination and significantly influences the energy losses amount. On the other hand, considering load variations in DNR increases the computational burden and processing time of the relevant algorithms. Therefore, this paper presents an effective reconfiguration framework for minimization of distribution losses, while the energy demand is changing. The simulation results show the effectiveness of the proposed strategy for optimal reconfiguration of distribution systems in presence of load variations.Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Associated Laboratory of IPBEN São Paulo State University Campus of Ilha SolteiraINESC TECNorth China Electric Power UniversityFEUPAssociated Laboratory of IPBEN São Paulo State University Campus of Ilha SolteiraUniversidade Estadual Paulista (UNESP)INESC TECNorth China Electric Power UniversityFEUPMahdavi, Meisam [UNESP]Javadi, Mohammad S.Wang, FeiCatalão, João P.S.2022-04-28T19:51:58Z2022-04-28T19:51:58Z2021-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjecthttp://dx.doi.org/10.1109/EEEIC/ICPSEurope51590.2021.958454521st IEEE International Conference on Environment and Electrical Engineering and 2021 5th IEEE Industrial and Commercial Power System Europe, EEEIC / I and CPS Europe 2021 - Proceedings.http://hdl.handle.net/11449/22365310.1109/EEEIC/ICPSEurope51590.2021.95845452-s2.0-85126435016Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPeng21st IEEE International Conference on Environment and Electrical Engineering and 2021 5th IEEE Industrial and Commercial Power System Europe, EEEIC / I and CPS Europe 2021 - Proceedingsinfo:eu-repo/semantics/openAccess2022-04-28T19:51:58Zoai:repositorio.unesp.br:11449/223653Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T15:44:25.625497Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Optimal Modeling of Load Variations in Distribution System Reconfiguration |
title |
Optimal Modeling of Load Variations in Distribution System Reconfiguration |
spellingShingle |
Optimal Modeling of Load Variations in Distribution System Reconfiguration Mahdavi, Meisam [UNESP] demand variations Distribution systems DNR efficient reconfiguration strategy energy losses |
title_short |
Optimal Modeling of Load Variations in Distribution System Reconfiguration |
title_full |
Optimal Modeling of Load Variations in Distribution System Reconfiguration |
title_fullStr |
Optimal Modeling of Load Variations in Distribution System Reconfiguration |
title_full_unstemmed |
Optimal Modeling of Load Variations in Distribution System Reconfiguration |
title_sort |
Optimal Modeling of Load Variations in Distribution System Reconfiguration |
author |
Mahdavi, Meisam [UNESP] |
author_facet |
Mahdavi, Meisam [UNESP] Javadi, Mohammad S. Wang, Fei Catalão, João P.S. |
author_role |
author |
author2 |
Javadi, Mohammad S. Wang, Fei Catalão, João P.S. |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (UNESP) INESC TEC North China Electric Power University FEUP |
dc.contributor.author.fl_str_mv |
Mahdavi, Meisam [UNESP] Javadi, Mohammad S. Wang, Fei Catalão, João P.S. |
dc.subject.por.fl_str_mv |
demand variations Distribution systems DNR efficient reconfiguration strategy energy losses |
topic |
demand variations Distribution systems DNR efficient reconfiguration strategy energy losses |
description |
Distribution networks have a prominent role in electricity delivery to individual consumers. Nevertheless, their energy losses are higher than transmission systems, which this issue affects the distribution operational costs. Hence, the minimization of power losses in distribution networks has particular importance for the system operators. Distribution network reconfiguration (DNR) is an effective way to reduce energy losses. However, some research works regarding DNR have not considered load variations in power loss calculations. Load level has an essential role in network losses determination and significantly influences the energy losses amount. On the other hand, considering load variations in DNR increases the computational burden and processing time of the relevant algorithms. Therefore, this paper presents an effective reconfiguration framework for minimization of distribution losses, while the energy demand is changing. The simulation results show the effectiveness of the proposed strategy for optimal reconfiguration of distribution systems in presence of load variations. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-01-01 2022-04-28T19:51:58Z 2022-04-28T19:51:58Z |
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/EEEIC/ICPSEurope51590.2021.9584545 21st IEEE International Conference on Environment and Electrical Engineering and 2021 5th IEEE Industrial and Commercial Power System Europe, EEEIC / I and CPS Europe 2021 - Proceedings. http://hdl.handle.net/11449/223653 10.1109/EEEIC/ICPSEurope51590.2021.9584545 2-s2.0-85126435016 |
url |
http://dx.doi.org/10.1109/EEEIC/ICPSEurope51590.2021.9584545 http://hdl.handle.net/11449/223653 |
identifier_str_mv |
21st IEEE International Conference on Environment and Electrical Engineering and 2021 5th IEEE Industrial and Commercial Power System Europe, EEEIC / I and CPS Europe 2021 - Proceedings. 10.1109/EEEIC/ICPSEurope51590.2021.9584545 2-s2.0-85126435016 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
21st IEEE International Conference on Environment and Electrical Engineering and 2021 5th IEEE Industrial and Commercial Power System Europe, EEEIC / I and CPS Europe 2021 - Proceedings |
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_ |
1808128555966529536 |