Detecting and locating non-technical losses in modern distribution networks
Autor(a) principal: | |
---|---|
Data de Publicação: | 2018 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1109/TSG.2016.2574714 http://hdl.handle.net/11449/175917 |
Resumo: | The recent addition of information and communication technologies in electric power distribution systems has introduced a new class of electricity theft or nontechnical loss. Energy consumption data can be hidden and altered through cyber-attacks that are characterized by the unauthorized access to the application database and digital tampering of smart meters. The development of cost-efficient algorithms to address these types of nontechnical losses also targets the reduction of commercial losses because the full protection of an information system is very expensive. Thus, this paper proposes a strategy to detect nontechnical losses using a multivariate control chart that establishes a reliable region for monitoring the measured variance. After the detection of nontechnical losses, a pathfinding procedure based on the A-Star algorithm is able to locate the consumption point with the non-technical loss. Moreover, a geographical information system application displays the consumption point that is the target of the cyber-attack. The numerical results demonstrate the selectivity and efficiency of the proposed methodology applied for monitoring a real distribution network. |
id |
UNSP_fe2245e78ffdd8ca0e2078a6bf57d879 |
---|---|
oai_identifier_str |
oai:repositorio.unesp.br:11449/175917 |
network_acronym_str |
UNSP |
network_name_str |
Repositório Institucional da UNESP |
repository_id_str |
2946 |
spelling |
Detecting and locating non-technical losses in modern distribution networksA-star algorithmCommercial lossesCyber-attacksMultivariate procedure of monitoring and controlSmart metering systemThe recent addition of information and communication technologies in electric power distribution systems has introduced a new class of electricity theft or nontechnical loss. Energy consumption data can be hidden and altered through cyber-attacks that are characterized by the unauthorized access to the application database and digital tampering of smart meters. The development of cost-efficient algorithms to address these types of nontechnical losses also targets the reduction of commercial losses because the full protection of an information system is very expensive. Thus, this paper proposes a strategy to detect nontechnical losses using a multivariate control chart that establishes a reliable region for monitoring the measured variance. After the detection of nontechnical losses, a pathfinding procedure based on the A-Star algorithm is able to locate the consumption point with the non-technical loss. Moreover, a geographical information system application displays the consumption point that is the target of the cyber-attack. The numerical results demonstrate the selectivity and efficiency of the proposed methodology applied for monitoring a real distribution network.Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Electrical Engineering Department UNESP FEISElectrical Engineering Department UNESP FEISFAPESP: 2013/23590-8FAPESP: 2014/22377-1CAPES: 305371/2012-6CNPq: 305371/2012-6Universidade Estadual Paulista (Unesp)Leite, Jônatas Boás [UNESP]Mantovani, José Roberto Sanches [UNESP]2018-12-11T17:18:09Z2018-12-11T17:18:09Z2018-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article1023-1032application/pdfhttp://dx.doi.org/10.1109/TSG.2016.2574714IEEE Transactions on Smart Grid, v. 9, n. 2, p. 1023-1032, 2018.1949-3053http://hdl.handle.net/11449/17591710.1109/TSG.2016.25747142-s2.0-850423051522-s2.0-85042305152.pdfScopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengIEEE Transactions on Smart Grid2,854info:eu-repo/semantics/openAccess2023-11-16T06:10:17Zoai:repositorio.unesp.br:11449/175917Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462023-11-16T06:10:17Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Detecting and locating non-technical losses in modern distribution networks |
title |
Detecting and locating non-technical losses in modern distribution networks |
spellingShingle |
Detecting and locating non-technical losses in modern distribution networks Leite, Jônatas Boás [UNESP] A-star algorithm Commercial losses Cyber-attacks Multivariate procedure of monitoring and control Smart metering system |
title_short |
Detecting and locating non-technical losses in modern distribution networks |
title_full |
Detecting and locating non-technical losses in modern distribution networks |
title_fullStr |
Detecting and locating non-technical losses in modern distribution networks |
title_full_unstemmed |
Detecting and locating non-technical losses in modern distribution networks |
title_sort |
Detecting and locating non-technical losses in modern distribution networks |
author |
Leite, Jônatas Boás [UNESP] |
author_facet |
Leite, Jônatas Boás [UNESP] Mantovani, José Roberto Sanches [UNESP] |
author_role |
author |
author2 |
Mantovani, José Roberto Sanches [UNESP] |
author2_role |
author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) |
dc.contributor.author.fl_str_mv |
Leite, Jônatas Boás [UNESP] Mantovani, José Roberto Sanches [UNESP] |
dc.subject.por.fl_str_mv |
A-star algorithm Commercial losses Cyber-attacks Multivariate procedure of monitoring and control Smart metering system |
topic |
A-star algorithm Commercial losses Cyber-attacks Multivariate procedure of monitoring and control Smart metering system |
description |
The recent addition of information and communication technologies in electric power distribution systems has introduced a new class of electricity theft or nontechnical loss. Energy consumption data can be hidden and altered through cyber-attacks that are characterized by the unauthorized access to the application database and digital tampering of smart meters. The development of cost-efficient algorithms to address these types of nontechnical losses also targets the reduction of commercial losses because the full protection of an information system is very expensive. Thus, this paper proposes a strategy to detect nontechnical losses using a multivariate control chart that establishes a reliable region for monitoring the measured variance. After the detection of nontechnical losses, a pathfinding procedure based on the A-Star algorithm is able to locate the consumption point with the non-technical loss. Moreover, a geographical information system application displays the consumption point that is the target of the cyber-attack. The numerical results demonstrate the selectivity and efficiency of the proposed methodology applied for monitoring a real distribution network. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-12-11T17:18:09Z 2018-12-11T17:18:09Z 2018-01-01 |
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/TSG.2016.2574714 IEEE Transactions on Smart Grid, v. 9, n. 2, p. 1023-1032, 2018. 1949-3053 http://hdl.handle.net/11449/175917 10.1109/TSG.2016.2574714 2-s2.0-85042305152 2-s2.0-85042305152.pdf |
url |
http://dx.doi.org/10.1109/TSG.2016.2574714 http://hdl.handle.net/11449/175917 |
identifier_str_mv |
IEEE Transactions on Smart Grid, v. 9, n. 2, p. 1023-1032, 2018. 1949-3053 10.1109/TSG.2016.2574714 2-s2.0-85042305152 2-s2.0-85042305152.pdf |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
IEEE Transactions on Smart Grid 2,854 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
1023-1032 application/pdf |
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_ |
1803046507520196608 |