Maximum savings approach for location and sizing of capacitors in distribution systems

Autores
Khodr, H. M.; Olsina, Fernando Gabriel; De Oliveira De Jesus, Paulo M.; Yusta, J. M.
Año de publicación
2008
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
This paper proposes a computationally efficient methodology for the optimal location and sizing of static and switched shunt capacitors in radial distribution systems. The problem is formulated as the maximization of the savings produced by the reduction in energy losses and the avoided costs due to investment deferral in the expansion of the network. The proposed method selects the nodes to be compensated, as well as the optimal capacitor ratings and their operational characteristics, i.e. fixed or switched. After an appropriate linearization, the optimization problem was formulated as a mixed-integer linear problem, suitable for being solved by means of a widespread commercial package. Results of the proposed optimizing method are compared with another recent methodology reported in the literature using two test cases: a 15-bus and a 33-bus distribution network. For the both cases tested, the proposed methodology delivers better solutions indicated by higher loss savings, which are achieved with lower amounts of capacitive compensation. To calculate the energy savings and the deferral investment cost exactly, a load flow for radial distribution network is executed before and after the compensation. The proposed method has also been applied for compensating to an actual radial distribution network served by AES-Venezuela in the metropolitan area of Caracas. A convergence time of about 4 s after 22,298 iterations demonstrates the ability of the proposed methodology for efficiently handling compensation problems.
Fil: Khodr, H. M.. Universidad Simón Bolívar; Venezuela
Fil: Olsina, Fernando Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan; Argentina. Universidad Nacional de San Juan; Argentina
Fil: De Oliveira De Jesus, Paulo M.. Universidad de Porto; Portugal
Fil: Yusta, J. M.. Universidad de Zaragoza; España
Materia
Capacitors
Distribution systems
Mixed-integer linear optimization
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/244016

id CONICETDig_74442a860de5e416bf603c42e16040dc
oai_identifier_str oai:ri.conicet.gov.ar:11336/244016
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Maximum savings approach for location and sizing of capacitors in distribution systemsKhodr, H. M.Olsina, Fernando GabrielDe Oliveira De Jesus, Paulo M.Yusta, J. M.CapacitorsDistribution systemsMixed-integer linear optimizationhttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2This paper proposes a computationally efficient methodology for the optimal location and sizing of static and switched shunt capacitors in radial distribution systems. The problem is formulated as the maximization of the savings produced by the reduction in energy losses and the avoided costs due to investment deferral in the expansion of the network. The proposed method selects the nodes to be compensated, as well as the optimal capacitor ratings and their operational characteristics, i.e. fixed or switched. After an appropriate linearization, the optimization problem was formulated as a mixed-integer linear problem, suitable for being solved by means of a widespread commercial package. Results of the proposed optimizing method are compared with another recent methodology reported in the literature using two test cases: a 15-bus and a 33-bus distribution network. For the both cases tested, the proposed methodology delivers better solutions indicated by higher loss savings, which are achieved with lower amounts of capacitive compensation. To calculate the energy savings and the deferral investment cost exactly, a load flow for radial distribution network is executed before and after the compensation. The proposed method has also been applied for compensating to an actual radial distribution network served by AES-Venezuela in the metropolitan area of Caracas. A convergence time of about 4 s after 22,298 iterations demonstrates the ability of the proposed methodology for efficiently handling compensation problems.Fil: Khodr, H. M.. Universidad Simón Bolívar; VenezuelaFil: Olsina, Fernando Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan; Argentina. Universidad Nacional de San Juan; ArgentinaFil: De Oliveira De Jesus, Paulo M.. Universidad de Porto; PortugalFil: Yusta, J. M.. Universidad de Zaragoza; EspañaElsevier Science SA2008-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/244016Khodr, H. M.; Olsina, Fernando Gabriel; De Oliveira De Jesus, Paulo M.; Yusta, J. M.; Maximum savings approach for location and sizing of capacitors in distribution systems; Elsevier Science SA; Electric Power Systems Research; 78; 7; 7-2008; 1192-12030378-7796CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0378779607002143info:eu-repo/semantics/altIdentifier/doi/10.1016/j.epsr.2007.10.002info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-22T11:11:17Zoai:ri.conicet.gov.ar:11336/244016instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-22 11:11:17.673CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Maximum savings approach for location and sizing of capacitors in distribution systems
title Maximum savings approach for location and sizing of capacitors in distribution systems
spellingShingle Maximum savings approach for location and sizing of capacitors in distribution systems
Khodr, H. M.
Capacitors
Distribution systems
Mixed-integer linear optimization
title_short Maximum savings approach for location and sizing of capacitors in distribution systems
title_full Maximum savings approach for location and sizing of capacitors in distribution systems
title_fullStr Maximum savings approach for location and sizing of capacitors in distribution systems
title_full_unstemmed Maximum savings approach for location and sizing of capacitors in distribution systems
title_sort Maximum savings approach for location and sizing of capacitors in distribution systems
dc.creator.none.fl_str_mv Khodr, H. M.
Olsina, Fernando Gabriel
De Oliveira De Jesus, Paulo M.
Yusta, J. M.
author Khodr, H. M.
author_facet Khodr, H. M.
Olsina, Fernando Gabriel
De Oliveira De Jesus, Paulo M.
Yusta, J. M.
author_role author
author2 Olsina, Fernando Gabriel
De Oliveira De Jesus, Paulo M.
Yusta, J. M.
author2_role author
author
author
dc.subject.none.fl_str_mv Capacitors
Distribution systems
Mixed-integer linear optimization
topic Capacitors
Distribution systems
Mixed-integer linear optimization
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv This paper proposes a computationally efficient methodology for the optimal location and sizing of static and switched shunt capacitors in radial distribution systems. The problem is formulated as the maximization of the savings produced by the reduction in energy losses and the avoided costs due to investment deferral in the expansion of the network. The proposed method selects the nodes to be compensated, as well as the optimal capacitor ratings and their operational characteristics, i.e. fixed or switched. After an appropriate linearization, the optimization problem was formulated as a mixed-integer linear problem, suitable for being solved by means of a widespread commercial package. Results of the proposed optimizing method are compared with another recent methodology reported in the literature using two test cases: a 15-bus and a 33-bus distribution network. For the both cases tested, the proposed methodology delivers better solutions indicated by higher loss savings, which are achieved with lower amounts of capacitive compensation. To calculate the energy savings and the deferral investment cost exactly, a load flow for radial distribution network is executed before and after the compensation. The proposed method has also been applied for compensating to an actual radial distribution network served by AES-Venezuela in the metropolitan area of Caracas. A convergence time of about 4 s after 22,298 iterations demonstrates the ability of the proposed methodology for efficiently handling compensation problems.
Fil: Khodr, H. M.. Universidad Simón Bolívar; Venezuela
Fil: Olsina, Fernando Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan; Argentina. Universidad Nacional de San Juan; Argentina
Fil: De Oliveira De Jesus, Paulo M.. Universidad de Porto; Portugal
Fil: Yusta, J. M.. Universidad de Zaragoza; España
description This paper proposes a computationally efficient methodology for the optimal location and sizing of static and switched shunt capacitors in radial distribution systems. The problem is formulated as the maximization of the savings produced by the reduction in energy losses and the avoided costs due to investment deferral in the expansion of the network. The proposed method selects the nodes to be compensated, as well as the optimal capacitor ratings and their operational characteristics, i.e. fixed or switched. After an appropriate linearization, the optimization problem was formulated as a mixed-integer linear problem, suitable for being solved by means of a widespread commercial package. Results of the proposed optimizing method are compared with another recent methodology reported in the literature using two test cases: a 15-bus and a 33-bus distribution network. For the both cases tested, the proposed methodology delivers better solutions indicated by higher loss savings, which are achieved with lower amounts of capacitive compensation. To calculate the energy savings and the deferral investment cost exactly, a load flow for radial distribution network is executed before and after the compensation. The proposed method has also been applied for compensating to an actual radial distribution network served by AES-Venezuela in the metropolitan area of Caracas. A convergence time of about 4 s after 22,298 iterations demonstrates the ability of the proposed methodology for efficiently handling compensation problems.
publishDate 2008
dc.date.none.fl_str_mv 2008-07
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/244016
Khodr, H. M.; Olsina, Fernando Gabriel; De Oliveira De Jesus, Paulo M.; Yusta, J. M.; Maximum savings approach for location and sizing of capacitors in distribution systems; Elsevier Science SA; Electric Power Systems Research; 78; 7; 7-2008; 1192-1203
0378-7796
CONICET Digital
CONICET
url http://hdl.handle.net/11336/244016
identifier_str_mv Khodr, H. M.; Olsina, Fernando Gabriel; De Oliveira De Jesus, Paulo M.; Yusta, J. M.; Maximum savings approach for location and sizing of capacitors in distribution systems; Elsevier Science SA; Electric Power Systems Research; 78; 7; 7-2008; 1192-1203
0378-7796
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0378779607002143
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.epsr.2007.10.002
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier Science SA
publisher.none.fl_str_mv Elsevier Science SA
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1846781487717810176
score 12.8982525