Optimal Modeling of Load Variations in Distribution System Reconfiguration

Detalhes bibliográficos
Autor(a) principal: Mahdavi, Meisam [UNESP]
Data de Publicação: 2021
Outros Autores: Javadi, Mohammad S., Wang, Fei, Catalão, João P.S.
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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spelling 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
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