Electrical Energy Losses Determination In Low Voltage - A Case Study

Detalhes bibliográficos
Autor(a) principal: Vieira, Gaspar
Data de Publicação: 2012
Outros Autores: Barbosa, Rui, Varela, Leonilde, Putnik, Goran
Tipo de documento: Artigo
Idioma: por
Título da fonte: Sistemas & Gestão
Texto Completo: https://www.revistasg.uff.br/sg/article/view/V6N2A2
Resumo: Along the last years, electrical energy distribution companies have already done many investments in order to identify and calculate energy losses along a distribution network. Although these big efforts, most approaches for clearly identifying and solving the related problems still remain rather inefficient. The accurate identification and the precise calculation of electricity losses enables the clear specification of the critical points and segments in the networks and, consequently, the effective prioritization of actions and interventions in order to reduce those electricity losses and problems.  Moreover, the work already performed on this issue, the existing approaches focus mainly on empirical and probabilistic data.  Hence, there is still a clear gap between real information and the considered one, which tends to be poor and imprecise. Due to this reality and the lack of appropriate software applications, in this paper we propose a web platform for the management of the whole network of electrical energy distribution, from medium voltage (MV) down to low voltage (LV), including billing on the transformation centers (TCs), electricity losses calculation and proposals for solving actions, by means of a fuzzy decision-making model.
id UFF-13_bc0f775b0f85cd4427a5c00340621726
oai_identifier_str oai:ojs.www.revistasg.uff.br:article/307
network_acronym_str UFF-13
network_name_str Sistemas & Gestão
repository_id_str
spelling Electrical Energy Losses Determination In Low Voltage - A Case StudyElectrical Energy Losses Determination In Low Voltage - A Case StudyElectrical Energy Losses Determination In Low Voltage - A Case StudyElectrical energydistribution networkfuzzy-based decision systeminformation and losses calculation and solving actions supportElectrical energydistribution networkfuzzy-based decision systeminformation and losses calculation and solving actions support.Along the last years, electrical energy distribution companies have already done many investments in order to identify and calculate energy losses along a distribution network. Although these big efforts, most approaches for clearly identifying and solving the related problems still remain rather inefficient. The accurate identification and the precise calculation of electricity losses enables the clear specification of the critical points and segments in the networks and, consequently, the effective prioritization of actions and interventions in order to reduce those electricity losses and problems.  Moreover, the work already performed on this issue, the existing approaches focus mainly on empirical and probabilistic data.  Hence, there is still a clear gap between real information and the considered one, which tends to be poor and imprecise. Due to this reality and the lack of appropriate software applications, in this paper we propose a web platform for the management of the whole network of electrical energy distribution, from medium voltage (MV) down to low voltage (LV), including billing on the transformation centers (TCs), electricity losses calculation and proposals for solving actions, by means of a fuzzy decision-making model.Along the last years, electrical energy distribution companies have already done many investments in order to identify and calculate energy losses along a distribution network. Although these big efforts, most approaches for clearly identifying and solving the related problems still remain rather inefficient. The accurate identification and the precise calculation of electricity losses enables the clear specification of the critical points and segments in the networks and, consequently, the effective prioritization of actions and interventions in order to reduce those electricity losses and problems.  Moreover, the work already performed on this issue, the existing approaches focus mainly on empirical and probabilistic data.  Hence, there is still a clear gap between real information and the considered one, which tends to be poor and imprecise. Due to this reality and the lack of appropriate software applications, in this paper we propose a web platform for the management of the whole network of electrical energy distribution, from medium voltage (MV) down to low voltage (LV), including billing on the transformation centers (TCs), electricity losses calculation and proposals for solving actions, by means of a fuzzy decision-making model.Along the last years, electrical energy distribution companies have already done many investmentsin order to identify and calculate energy losses along a distribution network. Although these big efforts,most approaches for clearly identifying and solving the related problems still remain rather inefficient. Theaccurate identification and the precise calculation of electricity losses enables the clear specification of thecritical points and segments in the networks and, consequently, the effective prioritization of actions andinterventions in order to reduce those electricity losses and problems. Moreover, the work already performedon this issue, the existing approaches focus mainly on empirical and probabilistic data. Hence, there is stilla clear gap between real information and the considered one, which tends to be poor and imprecise. Due tothis reality and the lack of appropriate software applications, in this paper we propose a web platform forthe management of the whole network of electrical energy distribution, from medium voltage (MV) down tolow voltage (LV), including billing on the transformation centers (TCs), electricity losses calculation andproposals for solving actions, by means of a fuzzy decision-making model.ABEC2012-03-23info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://www.revistasg.uff.br/sg/article/view/V6N2A210.7177/sg.2011.V6.N2.A2Sistemas & Gestão; v. 6 n. 2 (2011): Agosto/2011; 91-1161980-516010.7177/sg.2011.v6.n2reponame:Sistemas & Gestãoinstname:Universidade Federal Fluminense (UFF)instacron:UFFporhttps://www.revistasg.uff.br/sg/article/view/V6N2A2/V6N2A2Copyright (c) 2015 Sistemas & Gestãoinfo:eu-repo/semantics/openAccessVieira, GasparBarbosa, RuiVarela, LeonildePutnik, Goran2023-01-09T18:18:58Zoai:ojs.www.revistasg.uff.br:article/307Revistahttps://www.revistasg.uff.br/sgPUBhttps://www.revistasg.uff.br/sg/oai||sg.revista@gmail.com|| periodicos@proppi.uff.br1980-51601980-5160opendoar:2023-01-09T18:18:58Sistemas & Gestão - Universidade Federal Fluminense (UFF)false
dc.title.none.fl_str_mv Electrical Energy Losses Determination In Low Voltage - A Case Study
Electrical Energy Losses Determination In Low Voltage - A Case Study
Electrical Energy Losses Determination In Low Voltage - A Case Study
title Electrical Energy Losses Determination In Low Voltage - A Case Study
spellingShingle Electrical Energy Losses Determination In Low Voltage - A Case Study
Vieira, Gaspar
Electrical energy
distribution network
fuzzy-based decision system
information and losses calculation and solving actions support
Electrical energy
distribution network
fuzzy-based decision system
information and losses calculation and solving actions support.
title_short Electrical Energy Losses Determination In Low Voltage - A Case Study
title_full Electrical Energy Losses Determination In Low Voltage - A Case Study
title_fullStr Electrical Energy Losses Determination In Low Voltage - A Case Study
title_full_unstemmed Electrical Energy Losses Determination In Low Voltage - A Case Study
title_sort Electrical Energy Losses Determination In Low Voltage - A Case Study
author Vieira, Gaspar
author_facet Vieira, Gaspar
Barbosa, Rui
Varela, Leonilde
Putnik, Goran
author_role author
author2 Barbosa, Rui
Varela, Leonilde
Putnik, Goran
author2_role author
author
author
dc.contributor.author.fl_str_mv Vieira, Gaspar
Barbosa, Rui
Varela, Leonilde
Putnik, Goran
dc.subject.por.fl_str_mv Electrical energy
distribution network
fuzzy-based decision system
information and losses calculation and solving actions support
Electrical energy
distribution network
fuzzy-based decision system
information and losses calculation and solving actions support.
topic Electrical energy
distribution network
fuzzy-based decision system
information and losses calculation and solving actions support
Electrical energy
distribution network
fuzzy-based decision system
information and losses calculation and solving actions support.
description Along the last years, electrical energy distribution companies have already done many investments in order to identify and calculate energy losses along a distribution network. Although these big efforts, most approaches for clearly identifying and solving the related problems still remain rather inefficient. The accurate identification and the precise calculation of electricity losses enables the clear specification of the critical points and segments in the networks and, consequently, the effective prioritization of actions and interventions in order to reduce those electricity losses and problems.  Moreover, the work already performed on this issue, the existing approaches focus mainly on empirical and probabilistic data.  Hence, there is still a clear gap between real information and the considered one, which tends to be poor and imprecise. Due to this reality and the lack of appropriate software applications, in this paper we propose a web platform for the management of the whole network of electrical energy distribution, from medium voltage (MV) down to low voltage (LV), including billing on the transformation centers (TCs), electricity losses calculation and proposals for solving actions, by means of a fuzzy decision-making model.
publishDate 2012
dc.date.none.fl_str_mv 2012-03-23
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://www.revistasg.uff.br/sg/article/view/V6N2A2
10.7177/sg.2011.V6.N2.A2
url https://www.revistasg.uff.br/sg/article/view/V6N2A2
identifier_str_mv 10.7177/sg.2011.V6.N2.A2
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://www.revistasg.uff.br/sg/article/view/V6N2A2/V6N2A2
dc.rights.driver.fl_str_mv Copyright (c) 2015 Sistemas & Gestão
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2015 Sistemas & Gestão
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv ABEC
publisher.none.fl_str_mv ABEC
dc.source.none.fl_str_mv Sistemas & Gestão; v. 6 n. 2 (2011): Agosto/2011; 91-116
1980-5160
10.7177/sg.2011.v6.n2
reponame:Sistemas & Gestão
instname:Universidade Federal Fluminense (UFF)
instacron:UFF
instname_str Universidade Federal Fluminense (UFF)
instacron_str UFF
institution UFF
reponame_str Sistemas & Gestão
collection Sistemas & Gestão
repository.name.fl_str_mv Sistemas & Gestão - Universidade Federal Fluminense (UFF)
repository.mail.fl_str_mv ||sg.revista@gmail.com|| periodicos@proppi.uff.br
_version_ 1798320142919139328