A new parallel and decomposition approach to solve the medium- and low-voltage planning of large-scale power distribution systems
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , |
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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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/openAccess2024-07-04T19:06:14Zoai:repositorio.unesp.br:11449/208767Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T18:25:30.552485Repositório 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_ |
1808128930525216768 |