Optimal phasor measurement units placement for fault location on overhead electric power distribution feeders

Detalhes bibliográficos
Autor(a) principal: Bíscaro, A. A P [UNESP]
Data de Publicação: 2011
Outros Autores: Pereira, R. A F [UNESP], Mantovani, J. R S [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.2010.5762858
http://hdl.handle.net/11449/72441
Resumo: This paper proposes a new approach for optimal phasor measurement units placement for fault location on electric power distribution systems using Greedy Randomized Adaptive Search Procedure metaheuristic and Monte Carlo simulation. The optimized placement model herein proposed is a general methodology that can be used to place devices aiming to record the voltage sag magnitudes for any fault location algorithm that uses voltage information measured at a limited set of nodes along the feeder. An overhead, three-phase, three-wire, 13.8 kV, 134-node, real-life feeder model is used to evaluate the algorithm. Tests show that the results of the fault location methodology were improved thanks to the new optimized allocation of the meters pinpointed using this methodology. © 2011 IEEE.
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spelling Optimal phasor measurement units placement for fault location on overhead electric power distribution feedersfault locationMonte Carlo methods and optimization methodsOptimal allocationphasor measurement units (PMUs)Electric powerElectric power distribution systemsFault locationFault location algorithmsGeneral methodologiesGreedy randomized adaptive search procedureMetaheuristicMonte Carlo SimulationOptimized allocationPhasor measurement unitPlacement modelVoltage sagsAlgorithmsComputer simulationElectric load distributionElectric power distributionElectric power system interconnectionElectric power transmissionFeedingOptimizationPhase measurementThermoelectric equipmentUnits of measurementMonte Carlo methodsThis paper proposes a new approach for optimal phasor measurement units placement for fault location on electric power distribution systems using Greedy Randomized Adaptive Search Procedure metaheuristic and Monte Carlo simulation. The optimized placement model herein proposed is a general methodology that can be used to place devices aiming to record the voltage sag magnitudes for any fault location algorithm that uses voltage information measured at a limited set of nodes along the feeder. An overhead, three-phase, three-wire, 13.8 kV, 134-node, real-life feeder model is used to evaluate the algorithm. Tests show that the results of the fault location methodology were improved thanks to the new optimized allocation of the meters pinpointed using this methodology. © 2011 IEEE.UNESP-Univ. Estadual Paulista FEIS Electrical Engineering Department, Ilha Solteira, São Paulo, 15385-000UNESP-Univ. Estadual Paulista FEIS Electrical Engineering Department, Ilha Solteira, São Paulo, 15385-000Universidade Estadual Paulista (Unesp)Bíscaro, A. A P [UNESP]Pereira, R. A F [UNESP]Mantovani, J. R S [UNESP]2014-05-27T11:25:53Z2014-05-27T11:25:53Z2011-05-31info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject37-43http://dx.doi.org/10.1109/TDC-LA.2010.57628582010 IEEE/PES Transmission and Distribution Conference and Exposition: Latin America, T and D-LA 2010, p. 37-43.http://hdl.handle.net/11449/7244110.1109/TDC-LA.2010.57628582-s2.0-799575486510614021283361265Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPeng2010 IEEE/PES Transmission and Distribution Conference and Exposition: Latin America, T and D-LA 2010info:eu-repo/semantics/openAccess2024-07-04T19:11:21Zoai:repositorio.unesp.br:11449/72441Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T15:07:41.629172Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Optimal phasor measurement units placement for fault location on overhead electric power distribution feeders
title Optimal phasor measurement units placement for fault location on overhead electric power distribution feeders
spellingShingle Optimal phasor measurement units placement for fault location on overhead electric power distribution feeders
Bíscaro, A. A P [UNESP]
fault location
Monte Carlo methods and optimization methods
Optimal allocation
phasor measurement units (PMUs)
Electric power
Electric power distribution systems
Fault location
Fault location algorithms
General methodologies
Greedy randomized adaptive search procedure
Metaheuristic
Monte Carlo Simulation
Optimized allocation
Phasor measurement unit
Placement model
Voltage sags
Algorithms
Computer simulation
Electric load distribution
Electric power distribution
Electric power system interconnection
Electric power transmission
Feeding
Optimization
Phase measurement
Thermoelectric equipment
Units of measurement
Monte Carlo methods
title_short Optimal phasor measurement units placement for fault location on overhead electric power distribution feeders
title_full Optimal phasor measurement units placement for fault location on overhead electric power distribution feeders
title_fullStr Optimal phasor measurement units placement for fault location on overhead electric power distribution feeders
title_full_unstemmed Optimal phasor measurement units placement for fault location on overhead electric power distribution feeders
title_sort Optimal phasor measurement units placement for fault location on overhead electric power distribution feeders
author Bíscaro, A. A P [UNESP]
author_facet Bíscaro, A. A P [UNESP]
Pereira, R. A F [UNESP]
Mantovani, J. R S [UNESP]
author_role author
author2 Pereira, R. A F [UNESP]
Mantovani, J. R S [UNESP]
author2_role author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Bíscaro, A. A P [UNESP]
Pereira, R. A F [UNESP]
Mantovani, J. R S [UNESP]
dc.subject.por.fl_str_mv fault location
Monte Carlo methods and optimization methods
Optimal allocation
phasor measurement units (PMUs)
Electric power
Electric power distribution systems
Fault location
Fault location algorithms
General methodologies
Greedy randomized adaptive search procedure
Metaheuristic
Monte Carlo Simulation
Optimized allocation
Phasor measurement unit
Placement model
Voltage sags
Algorithms
Computer simulation
Electric load distribution
Electric power distribution
Electric power system interconnection
Electric power transmission
Feeding
Optimization
Phase measurement
Thermoelectric equipment
Units of measurement
Monte Carlo methods
topic fault location
Monte Carlo methods and optimization methods
Optimal allocation
phasor measurement units (PMUs)
Electric power
Electric power distribution systems
Fault location
Fault location algorithms
General methodologies
Greedy randomized adaptive search procedure
Metaheuristic
Monte Carlo Simulation
Optimized allocation
Phasor measurement unit
Placement model
Voltage sags
Algorithms
Computer simulation
Electric load distribution
Electric power distribution
Electric power system interconnection
Electric power transmission
Feeding
Optimization
Phase measurement
Thermoelectric equipment
Units of measurement
Monte Carlo methods
description This paper proposes a new approach for optimal phasor measurement units placement for fault location on electric power distribution systems using Greedy Randomized Adaptive Search Procedure metaheuristic and Monte Carlo simulation. The optimized placement model herein proposed is a general methodology that can be used to place devices aiming to record the voltage sag magnitudes for any fault location algorithm that uses voltage information measured at a limited set of nodes along the feeder. An overhead, three-phase, three-wire, 13.8 kV, 134-node, real-life feeder model is used to evaluate the algorithm. Tests show that the results of the fault location methodology were improved thanks to the new optimized allocation of the meters pinpointed using this methodology. © 2011 IEEE.
publishDate 2011
dc.date.none.fl_str_mv 2011-05-31
2014-05-27T11:25:53Z
2014-05-27T11:25:53Z
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.2010.5762858
2010 IEEE/PES Transmission and Distribution Conference and Exposition: Latin America, T and D-LA 2010, p. 37-43.
http://hdl.handle.net/11449/72441
10.1109/TDC-LA.2010.5762858
2-s2.0-79957548651
0614021283361265
url http://dx.doi.org/10.1109/TDC-LA.2010.5762858
http://hdl.handle.net/11449/72441
identifier_str_mv 2010 IEEE/PES Transmission and Distribution Conference and Exposition: Latin America, T and D-LA 2010, p. 37-43.
10.1109/TDC-LA.2010.5762858
2-s2.0-79957548651
0614021283361265
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2010 IEEE/PES Transmission and Distribution Conference and Exposition: Latin America, T and D-LA 2010
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 37-43
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_ 1808128465166139392