A statistical analysis of loss factor to determine the energy losses

Detalhes bibliográficos
Autor(a) principal: De Oliveira, M. E. [UNESP]
Data de Publicação: 2008
Outros Autores: Boson, D. F A [UNESP], Padilha-Feltrin, A. [UNESP]
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1109/TDC-LA.2008.4641691
http://hdl.handle.net/11449/70671
Resumo: Given that the total amount of losses in a distribution system is known, with a reliable methodology for the technical loss calculation, the non-technical losses can be obtained by subtraction. A usual method of calculation technical losses in the electric utilities uses two important factors: load factor and the loss factor. The load factor is usually obtained with energy and demand measurements, whereas, to compute the loss factor it is necessary the learning of demand and energy loss, which are not, in general, prone of direct measurements. In this work, a statistical analysis of this relationship using the curves of a sampling of consumers in a specific company is presented. These curves will be summarized in different bands of coefficient k. Then, it will be possible determine where each group of consumer has its major concentration of points. ©2008 IEEE.
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spelling A statistical analysis of loss factor to determine the energy lossesConstant coefficient kLoad curvesLoad factorLoss factorConcentration ofDirect measurementDistribution systemsEnergy lossLoad factorsMethod of calculationNon-technical lossStatistical analysisTechnical lossElectric lossesElectric utilitiesElectron energy loss spectroscopyGraph theorySamplingElectric load lossGiven that the total amount of losses in a distribution system is known, with a reliable methodology for the technical loss calculation, the non-technical losses can be obtained by subtraction. A usual method of calculation technical losses in the electric utilities uses two important factors: load factor and the loss factor. The load factor is usually obtained with energy and demand measurements, whereas, to compute the loss factor it is necessary the learning of demand and energy loss, which are not, in general, prone of direct measurements. In this work, a statistical analysis of this relationship using the curves of a sampling of consumers in a specific company is presented. These curves will be summarized in different bands of coefficient k. Then, it will be possible determine where each group of consumer has its major concentration of points. ©2008 IEEE.Universidade Estadual Paulista (UNESP), Ilha Solteira, SPUniversidade Estadual Paulista (UNESP), Ilha Solteira, SPUniversidade Estadual Paulista (Unesp)De Oliveira, M. E. [UNESP]Boson, D. F A [UNESP]Padilha-Feltrin, A. [UNESP]2014-05-27T11:23:43Z2014-05-27T11:23:43Z2008-12-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjecthttp://dx.doi.org/10.1109/TDC-LA.2008.46416912008 IEEE/PES Transmission and Distribution Conference and Exposition: Latin America, T and D-LA. Vols 1 and 2. New York: IEEE, p. 19-24, 2008.http://hdl.handle.net/11449/7067110.1109/TDC-LA.2008.4641691WOS:0002638612000042-s2.0-67650490563Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPeng2008 IEEE/PES Transmission and Distribution Conference and Exposition: Latin America, T and D-LAinfo:eu-repo/semantics/openAccess2024-07-04T19:11:45Zoai:repositorio.unesp.br:11449/70671Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T20:18:54.984518Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv A statistical analysis of loss factor to determine the energy losses
title A statistical analysis of loss factor to determine the energy losses
spellingShingle A statistical analysis of loss factor to determine the energy losses
De Oliveira, M. E. [UNESP]
Constant coefficient k
Load curves
Load factor
Loss factor
Concentration of
Direct measurement
Distribution systems
Energy loss
Load factors
Method of calculation
Non-technical loss
Statistical analysis
Technical loss
Electric losses
Electric utilities
Electron energy loss spectroscopy
Graph theory
Sampling
Electric load loss
title_short A statistical analysis of loss factor to determine the energy losses
title_full A statistical analysis of loss factor to determine the energy losses
title_fullStr A statistical analysis of loss factor to determine the energy losses
title_full_unstemmed A statistical analysis of loss factor to determine the energy losses
title_sort A statistical analysis of loss factor to determine the energy losses
author De Oliveira, M. E. [UNESP]
author_facet De Oliveira, M. E. [UNESP]
Boson, D. F A [UNESP]
Padilha-Feltrin, A. [UNESP]
author_role author
author2 Boson, D. F A [UNESP]
Padilha-Feltrin, A. [UNESP]
author2_role author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv De Oliveira, M. E. [UNESP]
Boson, D. F A [UNESP]
Padilha-Feltrin, A. [UNESP]
dc.subject.por.fl_str_mv Constant coefficient k
Load curves
Load factor
Loss factor
Concentration of
Direct measurement
Distribution systems
Energy loss
Load factors
Method of calculation
Non-technical loss
Statistical analysis
Technical loss
Electric losses
Electric utilities
Electron energy loss spectroscopy
Graph theory
Sampling
Electric load loss
topic Constant coefficient k
Load curves
Load factor
Loss factor
Concentration of
Direct measurement
Distribution systems
Energy loss
Load factors
Method of calculation
Non-technical loss
Statistical analysis
Technical loss
Electric losses
Electric utilities
Electron energy loss spectroscopy
Graph theory
Sampling
Electric load loss
description Given that the total amount of losses in a distribution system is known, with a reliable methodology for the technical loss calculation, the non-technical losses can be obtained by subtraction. A usual method of calculation technical losses in the electric utilities uses two important factors: load factor and the loss factor. The load factor is usually obtained with energy and demand measurements, whereas, to compute the loss factor it is necessary the learning of demand and energy loss, which are not, in general, prone of direct measurements. In this work, a statistical analysis of this relationship using the curves of a sampling of consumers in a specific company is presented. These curves will be summarized in different bands of coefficient k. Then, it will be possible determine where each group of consumer has its major concentration of points. ©2008 IEEE.
publishDate 2008
dc.date.none.fl_str_mv 2008-12-01
2014-05-27T11:23:43Z
2014-05-27T11:23:43Z
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/TDC-LA.2008.4641691
2008 IEEE/PES Transmission and Distribution Conference and Exposition: Latin America, T and D-LA. Vols 1 and 2. New York: IEEE, p. 19-24, 2008.
http://hdl.handle.net/11449/70671
10.1109/TDC-LA.2008.4641691
WOS:000263861200004
2-s2.0-67650490563
url http://dx.doi.org/10.1109/TDC-LA.2008.4641691
http://hdl.handle.net/11449/70671
identifier_str_mv 2008 IEEE/PES Transmission and Distribution Conference and Exposition: Latin America, T and D-LA. Vols 1 and 2. New York: IEEE, p. 19-24, 2008.
10.1109/TDC-LA.2008.4641691
WOS:000263861200004
2-s2.0-67650490563
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2008 IEEE/PES Transmission and Distribution Conference and Exposition: Latin America, T and D-LA
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
_version_ 1808129187422142464

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