Electrical Energy Losses Determination In Low Voltage - A Case Study
Autor(a) principal: | |
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Data de Publicação: | 2012 |
Outros Autores: | , , |
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. |
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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 |