A new parallel and decomposition approach to solve the medium- and low-voltage planning of large-scale power distribution systems

Detalhes bibliográficos
Autor(a) principal: Rupolo, Diogo [UNESP]
Data de Publicação: 2021
Outros Autores: Pereira Junior, Benvindo Rodrigues, Contreras, Javier, Mantovani, José Roberto Sanches [UNESP]
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1016/j.ijepes.2021.107191
http://hdl.handle.net/11449/208767
Resumo: The world energy demand is increasing. Currently, most electricity generation sources are fossil fuels. In recent years, the global energy matrix for power generation is changing, in order to meet the demand with minimal environmental impacts. In this context, a new approach to solve the medium- (MV) and low- voltage (LV) planning of large-scale distribution systems via parallel computing and decomposition techniques is proposed. The mathematical formulation considers the allocation of substations, distribution transformers, MV and LV circuits, support structures, poles, renewable energy sources (RES), and energy storage sources (ESS). In addition, variable costs related to the operation of RES and ESS, power losses in cables, distribution transformers and substations, energy purchased from substations, and greenhouse gas emissions are also taken into account. System reliability and maintenance costs of these devices are also considered in the planning. To evaluate the new methodology performance, tests in a large-scale distribution system with 200 nodes in MV and 1672 nodes in LV is considered. Numerical results show the proposed methodology is able to find good solutions that guarantee the minimization of planning costs considering RES and ESS allocation. Furthermore, system reliability is improved by up to 22% and greenhouse gas emissions mitigation by up to 18%.
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spelling A new parallel and decomposition approach to solve the medium- and low-voltage planning of large-scale power distribution systemsEnergy storage sourcesGreenhouse gas emissionsMV/LV distribution system planningParallel variable neighborhood decomposition searchRenewable energy sourcesThe world energy demand is increasing. Currently, most electricity generation sources are fossil fuels. In recent years, the global energy matrix for power generation is changing, in order to meet the demand with minimal environmental impacts. In this context, a new approach to solve the medium- (MV) and low- voltage (LV) planning of large-scale distribution systems via parallel computing and decomposition techniques is proposed. The mathematical formulation considers the allocation of substations, distribution transformers, MV and LV circuits, support structures, poles, renewable energy sources (RES), and energy storage sources (ESS). In addition, variable costs related to the operation of RES and ESS, power losses in cables, distribution transformers and substations, energy purchased from substations, and greenhouse gas emissions are also taken into account. System reliability and maintenance costs of these devices are also considered in the planning. To evaluate the new methodology performance, tests in a large-scale distribution system with 200 nodes in MV and 1672 nodes in LV is considered. Numerical results show the proposed methodology is able to find good solutions that guarantee the minimization of planning costs considering RES and ESS allocation. Furthermore, system reliability is improved by up to 22% and greenhouse gas emissions mitigation by up to 18%.Electrical Engineering Departament São Paulo State University UNESPDepartment of Electrical Engineering and Computation University of São PauloHigher Technical School of Industrial Engineering University of Castilla- La ManchaElectrical Engineering Departament São Paulo State University UNESPUniversidade Estadual Paulista (Unesp)Universidade de São Paulo (USP)University of Castilla- La ManchaRupolo, Diogo [UNESP]Pereira Junior, Benvindo RodriguesContreras, JavierMantovani, José Roberto Sanches [UNESP]2021-06-25T11:18:42Z2021-06-25T11:18:42Z2021-11-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1016/j.ijepes.2021.107191International Journal of Electrical Power and Energy Systems, v. 132.0142-0615http://hdl.handle.net/11449/20876710.1016/j.ijepes.2021.1071912-s2.0-85107777543Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengInternational Journal of Electrical Power and Energy Systemsinfo:eu-repo/semantics/openAccess2021-10-23T19:02:29Zoai:repositorio.unesp.br:11449/208767Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462021-10-23T19:02:29Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv A new parallel and decomposition approach to solve the medium- and low-voltage planning of large-scale power distribution systems
title A new parallel and decomposition approach to solve the medium- and low-voltage planning of large-scale power distribution systems
spellingShingle A new parallel and decomposition approach to solve the medium- and low-voltage planning of large-scale power distribution systems
Rupolo, Diogo [UNESP]
Energy storage sources
Greenhouse gas emissions
MV/LV distribution system planning
Parallel variable neighborhood decomposition search
Renewable energy sources
title_short A new parallel and decomposition approach to solve the medium- and low-voltage planning of large-scale power distribution systems
title_full A new parallel and decomposition approach to solve the medium- and low-voltage planning of large-scale power distribution systems
title_fullStr A new parallel and decomposition approach to solve the medium- and low-voltage planning of large-scale power distribution systems
title_full_unstemmed A new parallel and decomposition approach to solve the medium- and low-voltage planning of large-scale power distribution systems
title_sort A new parallel and decomposition approach to solve the medium- and low-voltage planning of large-scale power distribution systems
author Rupolo, Diogo [UNESP]
author_facet Rupolo, Diogo [UNESP]
Pereira Junior, Benvindo Rodrigues
Contreras, Javier
Mantovani, José Roberto Sanches [UNESP]
author_role author
author2 Pereira Junior, Benvindo Rodrigues
Contreras, Javier
Mantovani, José Roberto Sanches [UNESP]
author2_role author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
Universidade de São Paulo (USP)
University of Castilla- La Mancha
dc.contributor.author.fl_str_mv Rupolo, Diogo [UNESP]
Pereira Junior, Benvindo Rodrigues
Contreras, Javier
Mantovani, José Roberto Sanches [UNESP]
dc.subject.por.fl_str_mv Energy storage sources
Greenhouse gas emissions
MV/LV distribution system planning
Parallel variable neighborhood decomposition search
Renewable energy sources
topic Energy storage sources
Greenhouse gas emissions
MV/LV distribution system planning
Parallel variable neighborhood decomposition search
Renewable energy sources
description The world energy demand is increasing. Currently, most electricity generation sources are fossil fuels. In recent years, the global energy matrix for power generation is changing, in order to meet the demand with minimal environmental impacts. In this context, a new approach to solve the medium- (MV) and low- voltage (LV) planning of large-scale distribution systems via parallel computing and decomposition techniques is proposed. The mathematical formulation considers the allocation of substations, distribution transformers, MV and LV circuits, support structures, poles, renewable energy sources (RES), and energy storage sources (ESS). In addition, variable costs related to the operation of RES and ESS, power losses in cables, distribution transformers and substations, energy purchased from substations, and greenhouse gas emissions are also taken into account. System reliability and maintenance costs of these devices are also considered in the planning. To evaluate the new methodology performance, tests in a large-scale distribution system with 200 nodes in MV and 1672 nodes in LV is considered. Numerical results show the proposed methodology is able to find good solutions that guarantee the minimization of planning costs considering RES and ESS allocation. Furthermore, system reliability is improved by up to 22% and greenhouse gas emissions mitigation by up to 18%.
publishDate 2021
dc.date.none.fl_str_mv 2021-06-25T11:18:42Z
2021-06-25T11:18:42Z
2021-11-01
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 http://dx.doi.org/10.1016/j.ijepes.2021.107191
International Journal of Electrical Power and Energy Systems, v. 132.
0142-0615
http://hdl.handle.net/11449/208767
10.1016/j.ijepes.2021.107191
2-s2.0-85107777543
url http://dx.doi.org/10.1016/j.ijepes.2021.107191
http://hdl.handle.net/11449/208767
identifier_str_mv International Journal of Electrical Power and Energy Systems, v. 132.
0142-0615
10.1016/j.ijepes.2021.107191
2-s2.0-85107777543
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv International Journal of Electrical Power and Energy Systems
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_ 1803046605536886784

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