The impact of time series-based interruption cost on online risk assessment in distribution networks
Autor(a) principal: | |
---|---|
Data de Publicação: | 2017 |
Outros Autores: | , , , , |
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.2016.7805649 http://hdl.handle.net/11449/178742 |
Resumo: | Recent transformations in design, planning and operation of distribution system represent the needed evolutionary step toward a modern integrated infrastructure where new risk-based operations balance economic and reliability criteria. Risk assessment tools are useful for monitoring and supervisory control because they provide operators with the capability to quantify the tradeoff between reliability and economic performance. One part of the risk assessment is the determination of financial impact that can be expressed through the total cost of energy supply interruption. The calculation of interruption cost is typically associated with planning assessment where several parameters essential to network operation are neglected. The proposed mathematical model incorporates time-dependent interruption events, and integrates the spatio temporal risk data using a GIS platform. |
id |
UNSP_0b35888687fe32c02556e8321baf2163 |
---|---|
oai_identifier_str |
oai:repositorio.unesp.br:11449/178742 |
network_acronym_str |
UNSP |
network_name_str |
Repositório Institucional da UNESP |
repository_id_str |
2946 |
spelling |
The impact of time series-based interruption cost on online risk assessment in distribution networksCost functionElectricity supply industryGeographic information systemsPower distributionRisk analysisRecent transformations in design, planning and operation of distribution system represent the needed evolutionary step toward a modern integrated infrastructure where new risk-based operations balance economic and reliability criteria. Risk assessment tools are useful for monitoring and supervisory control because they provide operators with the capability to quantify the tradeoff between reliability and economic performance. One part of the risk assessment is the determination of financial impact that can be expressed through the total cost of energy supply interruption. The calculation of interruption cost is typically associated with planning assessment where several parameters essential to network operation are neglected. The proposed mathematical model incorporates time-dependent interruption events, and integrates the spatio temporal risk data using a GIS platform.Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Dep. of Electrical Engineering São Paulo State University - UNESPDep. of Electrical and Computer Engineering Texas A and M UniversityDep. of Electrical Engineering São Paulo State University - UNESPCNPq: 305371/2012-6Universidade Estadual Paulista (Unesp)Texas A and M UniversityLeite, Jonatas Boas [UNESP]Mantovani, Jose Roberto Sanches [UNESP]Dokic, TatjanaYan, QinChen, Po-ChenKezunovic, Mladen2018-12-11T17:31:54Z2018-12-11T17:31:54Z2017-01-04info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjecthttp://dx.doi.org/10.1109/TDC-LA.2016.78056492016 IEEE PES Transmission and Distribution Conference and Exposition-Latin America, PES T and D-LA 2016.http://hdl.handle.net/11449/17874210.1109/TDC-LA.2016.78056492-s2.0-85016220857Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPeng2016 IEEE PES Transmission and Distribution Conference and Exposition-Latin America, PES T and D-LA 2016info:eu-repo/semantics/openAccess2024-07-04T19:11:55Zoai:repositorio.unesp.br:11449/178742Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T23:04:14.864257Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
The impact of time series-based interruption cost on online risk assessment in distribution networks |
title |
The impact of time series-based interruption cost on online risk assessment in distribution networks |
spellingShingle |
The impact of time series-based interruption cost on online risk assessment in distribution networks Leite, Jonatas Boas [UNESP] Cost function Electricity supply industry Geographic information systems Power distribution Risk analysis |
title_short |
The impact of time series-based interruption cost on online risk assessment in distribution networks |
title_full |
The impact of time series-based interruption cost on online risk assessment in distribution networks |
title_fullStr |
The impact of time series-based interruption cost on online risk assessment in distribution networks |
title_full_unstemmed |
The impact of time series-based interruption cost on online risk assessment in distribution networks |
title_sort |
The impact of time series-based interruption cost on online risk assessment in distribution networks |
author |
Leite, Jonatas Boas [UNESP] |
author_facet |
Leite, Jonatas Boas [UNESP] Mantovani, Jose Roberto Sanches [UNESP] Dokic, Tatjana Yan, Qin Chen, Po-Chen Kezunovic, Mladen |
author_role |
author |
author2 |
Mantovani, Jose Roberto Sanches [UNESP] Dokic, Tatjana Yan, Qin Chen, Po-Chen Kezunovic, Mladen |
author2_role |
author author author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) Texas A and M University |
dc.contributor.author.fl_str_mv |
Leite, Jonatas Boas [UNESP] Mantovani, Jose Roberto Sanches [UNESP] Dokic, Tatjana Yan, Qin Chen, Po-Chen Kezunovic, Mladen |
dc.subject.por.fl_str_mv |
Cost function Electricity supply industry Geographic information systems Power distribution Risk analysis |
topic |
Cost function Electricity supply industry Geographic information systems Power distribution Risk analysis |
description |
Recent transformations in design, planning and operation of distribution system represent the needed evolutionary step toward a modern integrated infrastructure where new risk-based operations balance economic and reliability criteria. Risk assessment tools are useful for monitoring and supervisory control because they provide operators with the capability to quantify the tradeoff between reliability and economic performance. One part of the risk assessment is the determination of financial impact that can be expressed through the total cost of energy supply interruption. The calculation of interruption cost is typically associated with planning assessment where several parameters essential to network operation are neglected. The proposed mathematical model incorporates time-dependent interruption events, and integrates the spatio temporal risk data using a GIS platform. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-01-04 2018-12-11T17:31:54Z 2018-12-11T17:31:54Z |
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.2016.7805649 2016 IEEE PES Transmission and Distribution Conference and Exposition-Latin America, PES T and D-LA 2016. http://hdl.handle.net/11449/178742 10.1109/TDC-LA.2016.7805649 2-s2.0-85016220857 |
url |
http://dx.doi.org/10.1109/TDC-LA.2016.7805649 http://hdl.handle.net/11449/178742 |
identifier_str_mv |
2016 IEEE PES Transmission and Distribution Conference and Exposition-Latin America, PES T and D-LA 2016. 10.1109/TDC-LA.2016.7805649 2-s2.0-85016220857 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2016 IEEE PES Transmission and Distribution Conference and Exposition-Latin America, PES T and D-LA 2016 |
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_ |
1808129487363112960 |