An Efficient Model for Accurate Evaluation of Consumption Pattern in Distribution System Reconfiguration

Detalhes bibliográficos
Autor(a) principal: Mahdavi, Meisam
Data de Publicação: 2022
Outros Autores: Javadi, Mohammad Sadegh, Wang, Fei, Catalao, Joao P. S. P. S.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1109/TIA.2022.3148061
http://hdl.handle.net/11449/223425
Resumo: Consumption patterns of electric power systems are important for distribution companies, because of their significant impact on energy losses amount. Therefore, some incentives are suggested by distribution companies to energy consumers for correcting their consumption manner. For a specific load pattern, distribution system reconfiguration (DSR) is an effective way to mitigate energy losses. Hence, some research works have included load variations in the DSR problem to show the importance of consumption patterns in reconfiguration decisions. However, some of the specialized literature has ignored load changes in their reconfiguration models due to the high computational burden and processing time. On the other hand, the energy losses are calculated inaccurately if the consumption pattern is neglected. Consequently, the main goal of this paper is to investigate load pattern impact on switching sequences to find out how much is load profile important for minimization of energy losses in DSR The evaluations have been done for three well-known distribution systems using a classic optimization tool: A Mathematical Programming Language (AMPL).
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spelling An Efficient Model for Accurate Evaluation of Consumption Pattern in Distribution System ReconfigurationConsumption patternCostsdistribution networkefficient mathematical modelEnergy lossenergy lossesInvestmentLoad managementMinimizationPower demandreconfigurationVoltageConsumption patterns of electric power systems are important for distribution companies, because of their significant impact on energy losses amount. Therefore, some incentives are suggested by distribution companies to energy consumers for correcting their consumption manner. For a specific load pattern, distribution system reconfiguration (DSR) is an effective way to mitigate energy losses. Hence, some research works have included load variations in the DSR problem to show the importance of consumption patterns in reconfiguration decisions. However, some of the specialized literature has ignored load changes in their reconfiguration models due to the high computational burden and processing time. On the other hand, the energy losses are calculated inaccurately if the consumption pattern is neglected. Consequently, the main goal of this paper is to investigate load pattern impact on switching sequences to find out how much is load profile important for minimization of energy losses in DSR The evaluations have been done for three well-known distribution systems using a classic optimization tool: A Mathematical Programming Language (AMPL).Associated Laboratory of IPBEN, So Paulo State University, Brazil, (e-mail: m.mahdavi@unesp.br)INESC TEC, 112047 Porto, Portugal, 4200-465 (e-mail: msjavadi@gmail.com)Department of Electrical Engineering, North China Electric Power University, 47840 Baoding, Hebei, China, 071003 (e-mail: feiwang@ncepu.edu.cn)Faculty of Engineering, University of Porto, 26706 Porto, Porto, Portugal, 00351967344438 (e-mail: catalao@ubi.pt)Universidade Estadual Paulista (UNESP)Mahdavi, MeisamJavadi, Mohammad SadeghWang, FeiCatalao, Joao P. S. P. S.2022-04-28T19:50:39Z2022-04-28T19:50:39Z2022-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1109/TIA.2022.3148061IEEE Transactions on Industry Applications.1939-93670093-9994http://hdl.handle.net/11449/22342510.1109/TIA.2022.31480612-s2.0-85124245826Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengIEEE Transactions on Industry Applicationsinfo:eu-repo/semantics/openAccess2022-04-28T19:50:39Zoai:repositorio.unesp.br:11449/223425Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462022-04-28T19:50:39Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv An Efficient Model for Accurate Evaluation of Consumption Pattern in Distribution System Reconfiguration
title An Efficient Model for Accurate Evaluation of Consumption Pattern in Distribution System Reconfiguration
spellingShingle An Efficient Model for Accurate Evaluation of Consumption Pattern in Distribution System Reconfiguration
Mahdavi, Meisam
Consumption pattern
Costs
distribution network
efficient mathematical model
Energy loss
energy losses
Investment
Load management
Minimization
Power demand
reconfiguration
Voltage
title_short An Efficient Model for Accurate Evaluation of Consumption Pattern in Distribution System Reconfiguration
title_full An Efficient Model for Accurate Evaluation of Consumption Pattern in Distribution System Reconfiguration
title_fullStr An Efficient Model for Accurate Evaluation of Consumption Pattern in Distribution System Reconfiguration
title_full_unstemmed An Efficient Model for Accurate Evaluation of Consumption Pattern in Distribution System Reconfiguration
title_sort An Efficient Model for Accurate Evaluation of Consumption Pattern in Distribution System Reconfiguration
author Mahdavi, Meisam
author_facet Mahdavi, Meisam
Javadi, Mohammad Sadegh
Wang, Fei
Catalao, Joao P. S. P. S.
author_role author
author2 Javadi, Mohammad Sadegh
Wang, Fei
Catalao, Joao P. S. P. S.
author2_role author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (UNESP)
dc.contributor.author.fl_str_mv Mahdavi, Meisam
Javadi, Mohammad Sadegh
Wang, Fei
Catalao, Joao P. S. P. S.
dc.subject.por.fl_str_mv Consumption pattern
Costs
distribution network
efficient mathematical model
Energy loss
energy losses
Investment
Load management
Minimization
Power demand
reconfiguration
Voltage
topic Consumption pattern
Costs
distribution network
efficient mathematical model
Energy loss
energy losses
Investment
Load management
Minimization
Power demand
reconfiguration
Voltage
description Consumption patterns of electric power systems are important for distribution companies, because of their significant impact on energy losses amount. Therefore, some incentives are suggested by distribution companies to energy consumers for correcting their consumption manner. For a specific load pattern, distribution system reconfiguration (DSR) is an effective way to mitigate energy losses. Hence, some research works have included load variations in the DSR problem to show the importance of consumption patterns in reconfiguration decisions. However, some of the specialized literature has ignored load changes in their reconfiguration models due to the high computational burden and processing time. On the other hand, the energy losses are calculated inaccurately if the consumption pattern is neglected. Consequently, the main goal of this paper is to investigate load pattern impact on switching sequences to find out how much is load profile important for minimization of energy losses in DSR The evaluations have been done for three well-known distribution systems using a classic optimization tool: A Mathematical Programming Language (AMPL).
publishDate 2022
dc.date.none.fl_str_mv 2022-04-28T19:50:39Z
2022-04-28T19:50:39Z
2022-01-01
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1109/TIA.2022.3148061
IEEE Transactions on Industry Applications.
1939-9367
0093-9994
http://hdl.handle.net/11449/223425
10.1109/TIA.2022.3148061
2-s2.0-85124245826
url http://dx.doi.org/10.1109/TIA.2022.3148061
http://hdl.handle.net/11449/223425
identifier_str_mv IEEE Transactions on Industry Applications.
1939-9367
0093-9994
10.1109/TIA.2022.3148061
2-s2.0-85124245826
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv IEEE Transactions on Industry Applications
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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