Optimal allocation of distributed generators providing reactive power support ancillary service

Detalhes bibliográficos
Autor(a) principal: Rueda-Medina, A. C. [UNESP]
Data de Publicação: 2011
Outros Autores: 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/PTC.2011.6019165
http://hdl.handle.net/11449/72736
Resumo: Problems as voltage increase at the end of a feeder, demand supply unbalance in a fault condition, power quality decline, increase of power losses, and reduction of reliability levels may occur if Distributed Generators (DGs) are not properly allocated. For this reason, researchers have been employed several solution techniques to solve the problem of optimal allocation of DGs. This work is focused on the ancillary service of reactive power support provided by DGs. The main objective is to price this service by determining the costs in which a DG incurs when it loses sales opportunity of active power, i.e, by determining the Loss of Opportunity Costs (LOC). The LOC will be determined for different allocation alternatives of DGs as a result of a multi-objective optimization process, aiming the minimization of losses in the lines of the system and costs of active power generation from DGs, and the maximization of the static voltage stability margin of the system. The effectiveness of the proposed methodology in improving the goals outlined was demonstrated using the IEEE 34 bus distribution test feeder with two DGs cosidered to be allocated. © 2011 IEEE.
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spelling Optimal allocation of distributed generators providing reactive power support ancillary serviceDistributed generatorsmulti-objective optimizationoptimal allocationreactive power supportActive powerActive power generationAncillary serviceFault conditionsMulti objectiveOpportunity costsOptimal allocationOptimization processPower-lossesReliability levelSales opportunitiesSolution techniquesStatic voltage stability marginTest feedersCostsDistributed power generationPower qualityReactive powerSustainable developmentVoltage stabilizing circuitsMultiobjective optimizationProblems as voltage increase at the end of a feeder, demand supply unbalance in a fault condition, power quality decline, increase of power losses, and reduction of reliability levels may occur if Distributed Generators (DGs) are not properly allocated. For this reason, researchers have been employed several solution techniques to solve the problem of optimal allocation of DGs. This work is focused on the ancillary service of reactive power support provided by DGs. The main objective is to price this service by determining the costs in which a DG incurs when it loses sales opportunity of active power, i.e, by determining the Loss of Opportunity Costs (LOC). The LOC will be determined for different allocation alternatives of DGs as a result of a multi-objective optimization process, aiming the minimization of losses in the lines of the system and costs of active power generation from DGs, and the maximization of the static voltage stability margin of the system. The effectiveness of the proposed methodology in improving the goals outlined was demonstrated using the IEEE 34 bus distribution test feeder with two DGs cosidered to be allocated. © 2011 IEEE.Universidade Estadual Paulista (UNESP - Ilha Solteira), São PauloUniversidade Estadual Paulista (UNESP - Ilha Solteira), São PauloUniversidade Estadual Paulista (Unesp)Rueda-Medina, A. C. [UNESP]Padilha-Feltrin, A. [UNESP]2014-05-27T11:26:03Z2014-05-27T11:26:03Z2011-10-05info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjecthttp://dx.doi.org/10.1109/PTC.2011.60191652011 IEEE PES Trondheim PowerTech: The Power of Technology for a Sustainable Society, POWERTECH 2011.http://hdl.handle.net/11449/7273610.1109/PTC.2011.60191652-s2.0-80053358807Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPeng2011 IEEE PES Trondheim PowerTech: The Power of Technology for a Sustainable Society, POWERTECH 2011info:eu-repo/semantics/openAccess2021-10-23T15:34:01Zoai:repositorio.unesp.br:11449/72736Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462021-10-23T15:34:01Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Optimal allocation of distributed generators providing reactive power support ancillary service
title Optimal allocation of distributed generators providing reactive power support ancillary service
spellingShingle Optimal allocation of distributed generators providing reactive power support ancillary service
Rueda-Medina, A. C. [UNESP]
Distributed generators
multi-objective optimization
optimal allocation
reactive power support
Active power
Active power generation
Ancillary service
Fault conditions
Multi objective
Opportunity costs
Optimal allocation
Optimization process
Power-losses
Reliability level
Sales opportunities
Solution techniques
Static voltage stability margin
Test feeders
Costs
Distributed power generation
Power quality
Reactive power
Sustainable development
Voltage stabilizing circuits
Multiobjective optimization
title_short Optimal allocation of distributed generators providing reactive power support ancillary service
title_full Optimal allocation of distributed generators providing reactive power support ancillary service
title_fullStr Optimal allocation of distributed generators providing reactive power support ancillary service
title_full_unstemmed Optimal allocation of distributed generators providing reactive power support ancillary service
title_sort Optimal allocation of distributed generators providing reactive power support ancillary service
author Rueda-Medina, A. C. [UNESP]
author_facet Rueda-Medina, A. C. [UNESP]
Padilha-Feltrin, A. [UNESP]
author_role author
author2 Padilha-Feltrin, A. [UNESP]
author2_role author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Rueda-Medina, A. C. [UNESP]
Padilha-Feltrin, A. [UNESP]
dc.subject.por.fl_str_mv Distributed generators
multi-objective optimization
optimal allocation
reactive power support
Active power
Active power generation
Ancillary service
Fault conditions
Multi objective
Opportunity costs
Optimal allocation
Optimization process
Power-losses
Reliability level
Sales opportunities
Solution techniques
Static voltage stability margin
Test feeders
Costs
Distributed power generation
Power quality
Reactive power
Sustainable development
Voltage stabilizing circuits
Multiobjective optimization
topic Distributed generators
multi-objective optimization
optimal allocation
reactive power support
Active power
Active power generation
Ancillary service
Fault conditions
Multi objective
Opportunity costs
Optimal allocation
Optimization process
Power-losses
Reliability level
Sales opportunities
Solution techniques
Static voltage stability margin
Test feeders
Costs
Distributed power generation
Power quality
Reactive power
Sustainable development
Voltage stabilizing circuits
Multiobjective optimization
description Problems as voltage increase at the end of a feeder, demand supply unbalance in a fault condition, power quality decline, increase of power losses, and reduction of reliability levels may occur if Distributed Generators (DGs) are not properly allocated. For this reason, researchers have been employed several solution techniques to solve the problem of optimal allocation of DGs. This work is focused on the ancillary service of reactive power support provided by DGs. The main objective is to price this service by determining the costs in which a DG incurs when it loses sales opportunity of active power, i.e, by determining the Loss of Opportunity Costs (LOC). The LOC will be determined for different allocation alternatives of DGs as a result of a multi-objective optimization process, aiming the minimization of losses in the lines of the system and costs of active power generation from DGs, and the maximization of the static voltage stability margin of the system. The effectiveness of the proposed methodology in improving the goals outlined was demonstrated using the IEEE 34 bus distribution test feeder with two DGs cosidered to be allocated. © 2011 IEEE.
publishDate 2011
dc.date.none.fl_str_mv 2011-10-05
2014-05-27T11:26:03Z
2014-05-27T11:26:03Z
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/PTC.2011.6019165
2011 IEEE PES Trondheim PowerTech: The Power of Technology for a Sustainable Society, POWERTECH 2011.
http://hdl.handle.net/11449/72736
10.1109/PTC.2011.6019165
2-s2.0-80053358807
url http://dx.doi.org/10.1109/PTC.2011.6019165
http://hdl.handle.net/11449/72736
identifier_str_mv 2011 IEEE PES Trondheim PowerTech: The Power of Technology for a Sustainable Society, POWERTECH 2011.
10.1109/PTC.2011.6019165
2-s2.0-80053358807
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2011 IEEE PES Trondheim PowerTech: The Power of Technology for a Sustainable Society, POWERTECH 2011
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
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