An Efficient Mathematical Model for Distribution System Reconfiguration Using AMPL
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/10.1109/ACCESS.2021.3083688 http://hdl.handle.net/11449/228953 |
Resumo: | Distribution network is an essential part of electric power system, which however has higher power losses than transmission system. Distribution losses directly affect the operational cost of the system. Therefore, power loss reduction in distribution network is very important for distribution system users and connected customers. One of the commonly used ways for reducing losses is distribution system reconfiguration (DSR). In this process, configuration of distribution network changes by opening and closing sectional and tie switches in order to achieve the lowest level of power losses, while the network has to maintain its radial configuration and nodal voltage limits, and supply all connected loads. The DSR aiming loss reduction is a complex mixed-integer optimization problem with a quadratic term of power losses in the objective function and a set of linear and non-linear constraints. Accordingly, distribution network researchers have dedicated their efforts to developing efficient models and methodologies in order to find optimal solutions for loss reduction via DSR. In this paper, an efficient mathematical model for loss minimization in distribution network reconfiguration considering the system voltage profile is presented. The model can be solved by commercially available solvers. In the paper, the proposed model is applied to several test systems and real distribution networks showing its high efficiency and effectiveness for distribution systems reconfiguration. |
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An Efficient Mathematical Model for Distribution System Reconfiguration Using AMPLEfficient mathematical modelelectric power distribution systemsloss reductionnetwork reconfigurationvoltage profileDistribution network is an essential part of electric power system, which however has higher power losses than transmission system. Distribution losses directly affect the operational cost of the system. Therefore, power loss reduction in distribution network is very important for distribution system users and connected customers. One of the commonly used ways for reducing losses is distribution system reconfiguration (DSR). In this process, configuration of distribution network changes by opening and closing sectional and tie switches in order to achieve the lowest level of power losses, while the network has to maintain its radial configuration and nodal voltage limits, and supply all connected loads. The DSR aiming loss reduction is a complex mixed-integer optimization problem with a quadratic term of power losses in the objective function and a set of linear and non-linear constraints. Accordingly, distribution network researchers have dedicated their efforts to developing efficient models and methodologies in order to find optimal solutions for loss reduction via DSR. In this paper, an efficient mathematical model for loss minimization in distribution network reconfiguration considering the system voltage profile is presented. The model can be solved by commercially available solvers. In the paper, the proposed model is applied to several test systems and real distribution networks showing its high efficiency and effectiveness for distribution systems reconfiguration.Associated Laboratories Institute of Bioenergy Research (IPBEN) São Paulo State University Campus of Ilha SolteiraDepartment of Electrical Power Engineering Tishreen UniversitySchool of Electrical and Computer Engineering National Technical University of AthensDepartment of Electrical and Computer Engineering College of Engineering Sultan Qaboos UniversityAssociated Laboratories Institute of Bioenergy Research (IPBEN) São Paulo State University Campus of Ilha SolteiraUniversidade Estadual Paulista (UNESP)Tishreen UniversityNational Technical University of AthensSultan Qaboos UniversityMahdavi, Meisam [UNESP]Alhelou, Hassan HaesHatziargyriou, Nikos D.Al-Hinai, Amer2022-04-29T08:29:33Z2022-04-29T08:29:33Z2021-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article79961-79993http://dx.doi.org/10.1109/ACCESS.2021.3083688IEEE Access, v. 9, p. 79961-79993.2169-3536http://hdl.handle.net/11449/22895310.1109/ACCESS.2021.30836882-s2.0-85107229756Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengIEEE Accessinfo:eu-repo/semantics/openAccess2024-07-04T15:32:22Zoai:repositorio.unesp.br:11449/228953Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T16:45:22.907703Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
An Efficient Mathematical Model for Distribution System Reconfiguration Using AMPL |
title |
An Efficient Mathematical Model for Distribution System Reconfiguration Using AMPL |
spellingShingle |
An Efficient Mathematical Model for Distribution System Reconfiguration Using AMPL Mahdavi, Meisam [UNESP] Efficient mathematical model electric power distribution systems loss reduction network reconfiguration voltage profile |
title_short |
An Efficient Mathematical Model for Distribution System Reconfiguration Using AMPL |
title_full |
An Efficient Mathematical Model for Distribution System Reconfiguration Using AMPL |
title_fullStr |
An Efficient Mathematical Model for Distribution System Reconfiguration Using AMPL |
title_full_unstemmed |
An Efficient Mathematical Model for Distribution System Reconfiguration Using AMPL |
title_sort |
An Efficient Mathematical Model for Distribution System Reconfiguration Using AMPL |
author |
Mahdavi, Meisam [UNESP] |
author_facet |
Mahdavi, Meisam [UNESP] Alhelou, Hassan Haes Hatziargyriou, Nikos D. Al-Hinai, Amer |
author_role |
author |
author2 |
Alhelou, Hassan Haes Hatziargyriou, Nikos D. Al-Hinai, Amer |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (UNESP) Tishreen University National Technical University of Athens Sultan Qaboos University |
dc.contributor.author.fl_str_mv |
Mahdavi, Meisam [UNESP] Alhelou, Hassan Haes Hatziargyriou, Nikos D. Al-Hinai, Amer |
dc.subject.por.fl_str_mv |
Efficient mathematical model electric power distribution systems loss reduction network reconfiguration voltage profile |
topic |
Efficient mathematical model electric power distribution systems loss reduction network reconfiguration voltage profile |
description |
Distribution network is an essential part of electric power system, which however has higher power losses than transmission system. Distribution losses directly affect the operational cost of the system. Therefore, power loss reduction in distribution network is very important for distribution system users and connected customers. One of the commonly used ways for reducing losses is distribution system reconfiguration (DSR). In this process, configuration of distribution network changes by opening and closing sectional and tie switches in order to achieve the lowest level of power losses, while the network has to maintain its radial configuration and nodal voltage limits, and supply all connected loads. The DSR aiming loss reduction is a complex mixed-integer optimization problem with a quadratic term of power losses in the objective function and a set of linear and non-linear constraints. Accordingly, distribution network researchers have dedicated their efforts to developing efficient models and methodologies in order to find optimal solutions for loss reduction via DSR. In this paper, an efficient mathematical model for loss minimization in distribution network reconfiguration considering the system voltage profile is presented. The model can be solved by commercially available solvers. In the paper, the proposed model is applied to several test systems and real distribution networks showing its high efficiency and effectiveness for distribution systems reconfiguration. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-01-01 2022-04-29T08:29:33Z 2022-04-29T08:29:33Z |
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/10.1109/ACCESS.2021.3083688 IEEE Access, v. 9, p. 79961-79993. 2169-3536 http://hdl.handle.net/11449/228953 10.1109/ACCESS.2021.3083688 2-s2.0-85107229756 |
url |
http://dx.doi.org/10.1109/ACCESS.2021.3083688 http://hdl.handle.net/11449/228953 |
identifier_str_mv |
IEEE Access, v. 9, p. 79961-79993. 2169-3536 10.1109/ACCESS.2021.3083688 2-s2.0-85107229756 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
IEEE Access |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
79961-79993 |
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_ |
1808128696424333312 |