Joint reconfiguration of feeders and allocation of capacitor banks in radial distribution systems considering voltage-dependent models
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://hdl.handle.net/11449/215114 |
Resumo: | This paper presents a study about operation planning for radial distribution systems using a mixed-integer second-order cone programming formulation. The proposal consists of a complete model for solving the problems of the reconfiguration of feeders and allocation of capacitor banks simultaneously, with the objective of achieving a minimum overall investment, in both fixed and switchable capacitor banks, and operational costs, related to the cost of energy losses. The approach includes a voltage-dependent load representation, as well as a precise representation of the operation of capacitor banks, which is also voltage dependent. The use of a mixed-integer second-order cone programming model guarantees convergence to optimality using existing optimization software. A strategy to reduce the number of candidate nodes of the system for capacitor banks allocation is also presented. Several tests are performed using the 69-node distribution system and a real 2313-node distribution system, demonstrating the effectiveness of the proposal. The results indicate that better solutions can be obtained by performing the simultaneous optimization of the reconfiguration and allocation of capacitor banks than by solving the two problems sequentially, which may even lead to infeasible solutions. It is also verified that both the load and capacitor banks models have an influence on the problem’s solution. |
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Repositório Institucional da UNESP |
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Joint reconfiguration of feeders and allocation of capacitor banks in radial distribution systems considering voltage-dependent modelsAllocation of capacitor banksMixed-integer second-order cone programmingOptimizationReconfiguration of distribution systemsVoltage-dependent modelsThis paper presents a study about operation planning for radial distribution systems using a mixed-integer second-order cone programming formulation. The proposal consists of a complete model for solving the problems of the reconfiguration of feeders and allocation of capacitor banks simultaneously, with the objective of achieving a minimum overall investment, in both fixed and switchable capacitor banks, and operational costs, related to the cost of energy losses. The approach includes a voltage-dependent load representation, as well as a precise representation of the operation of capacitor banks, which is also voltage dependent. The use of a mixed-integer second-order cone programming model guarantees convergence to optimality using existing optimization software. A strategy to reduce the number of candidate nodes of the system for capacitor banks allocation is also presented. Several tests are performed using the 69-node distribution system and a real 2313-node distribution system, demonstrating the effectiveness of the proposal. The results indicate that better solutions can be obtained by performing the simultaneous optimization of the reconfiguration and allocation of capacitor banks than by solving the two problems sequentially, which may even lead to infeasible solutions. It is also verified that both the load and capacitor banks models have an influence on the problem’s solution.Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)PostprintUniversidade Estadual PaulistaCAPES: 001CNPq: 305852/2017-5FAPESP: 2014/23741-9FAPESP: 2015/21972-6ElsevierUniversidade Estadual Paulista (Unesp)Home-Ortiz, Juan M.Vargas, RenzoMacedo, Leonardo H.Romero, Rubén [UNESP]2021-11-16T13:29:06Z2021-11-16T13:29:06Z2019-05-11info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdf0142-0615http://hdl.handle.net/11449/21511410.1016/j.ijepes.2018.11.03543323310015763360410725069211275204096218915304073033007471842650000-0002-0746-80820000-0003-2287-15710000-0001-9178-06010000-0002-7744-254XengInternational Journal of Electrical Power & Energy Systemsinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESP2024-07-04T19:06:46Zoai:repositorio.unesp.br:11449/215114Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T21:46:45.872683Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Joint reconfiguration of feeders and allocation of capacitor banks in radial distribution systems considering voltage-dependent models |
title |
Joint reconfiguration of feeders and allocation of capacitor banks in radial distribution systems considering voltage-dependent models |
spellingShingle |
Joint reconfiguration of feeders and allocation of capacitor banks in radial distribution systems considering voltage-dependent models Home-Ortiz, Juan M. Allocation of capacitor banks Mixed-integer second-order cone programming Optimization Reconfiguration of distribution systems Voltage-dependent models |
title_short |
Joint reconfiguration of feeders and allocation of capacitor banks in radial distribution systems considering voltage-dependent models |
title_full |
Joint reconfiguration of feeders and allocation of capacitor banks in radial distribution systems considering voltage-dependent models |
title_fullStr |
Joint reconfiguration of feeders and allocation of capacitor banks in radial distribution systems considering voltage-dependent models |
title_full_unstemmed |
Joint reconfiguration of feeders and allocation of capacitor banks in radial distribution systems considering voltage-dependent models |
title_sort |
Joint reconfiguration of feeders and allocation of capacitor banks in radial distribution systems considering voltage-dependent models |
author |
Home-Ortiz, Juan M. |
author_facet |
Home-Ortiz, Juan M. Vargas, Renzo Macedo, Leonardo H. Romero, Rubén [UNESP] |
author_role |
author |
author2 |
Vargas, Renzo Macedo, Leonardo H. Romero, Rubén [UNESP] |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) |
dc.contributor.author.fl_str_mv |
Home-Ortiz, Juan M. Vargas, Renzo Macedo, Leonardo H. Romero, Rubén [UNESP] |
dc.subject.por.fl_str_mv |
Allocation of capacitor banks Mixed-integer second-order cone programming Optimization Reconfiguration of distribution systems Voltage-dependent models |
topic |
Allocation of capacitor banks Mixed-integer second-order cone programming Optimization Reconfiguration of distribution systems Voltage-dependent models |
description |
This paper presents a study about operation planning for radial distribution systems using a mixed-integer second-order cone programming formulation. The proposal consists of a complete model for solving the problems of the reconfiguration of feeders and allocation of capacitor banks simultaneously, with the objective of achieving a minimum overall investment, in both fixed and switchable capacitor banks, and operational costs, related to the cost of energy losses. The approach includes a voltage-dependent load representation, as well as a precise representation of the operation of capacitor banks, which is also voltage dependent. The use of a mixed-integer second-order cone programming model guarantees convergence to optimality using existing optimization software. A strategy to reduce the number of candidate nodes of the system for capacitor banks allocation is also presented. Several tests are performed using the 69-node distribution system and a real 2313-node distribution system, demonstrating the effectiveness of the proposal. The results indicate that better solutions can be obtained by performing the simultaneous optimization of the reconfiguration and allocation of capacitor banks than by solving the two problems sequentially, which may even lead to infeasible solutions. It is also verified that both the load and capacitor banks models have an influence on the problem’s solution. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-05-11 2021-11-16T13:29:06Z 2021-11-16T13:29:06Z |
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 |
0142-0615 http://hdl.handle.net/11449/215114 10.1016/j.ijepes.2018.11.035 4332331001576336 0410725069211275 2040962189153040 7303300747184265 0000-0002-0746-8082 0000-0003-2287-1571 0000-0001-9178-0601 0000-0002-7744-254X |
identifier_str_mv |
0142-0615 10.1016/j.ijepes.2018.11.035 4332331001576336 0410725069211275 2040962189153040 7303300747184265 0000-0002-0746-8082 0000-0003-2287-1571 0000-0001-9178-0601 0000-0002-7744-254X |
url |
http://hdl.handle.net/11449/215114 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
International Journal of Electrical Power & Energy Systems |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Elsevier |
publisher.none.fl_str_mv |
Elsevier |
dc.source.none.fl_str_mv |
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_ |
1808129356266995712 |