Multistage reliability-based expansion planning of AC distribution networks using a mixed-integer linear programming model

Detalhes bibliográficos
Autor(a) principal: Tabares, Alejandra [UNESP]
Data de Publicação: 2022
Outros Autores: Muñoz-Delgado, Gregorio, Franco, John F. [UNESP], Arroyo, José M., Contreras, Javier
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1016/j.ijepes.2021.107916
http://hdl.handle.net/11449/223297
Resumo: A new mathematical model for the multistage distribution network expansion planning problem considering reliability is proposed in this paper. Decisions related to substation and branch expansion are driven by the minimization of the total cost, which comprises investment and operating costs including the impact of reliability. The proposed model features two main novelties. First, a set of novel algebraic expressions is devised for a standard reliability index, namely the expected energy not supplied. As a result, the dependence of reliability on network topology is explicitly and effectively cast in the mathematical formulation of the planning problem at hand. In addition, the effect of the network is characterized by a computationally efficient piecewise linear representation of the ac power flow model that takes into account both real and reactive power. The resulting optimization problem is formulated as an instance of mixed-integer linear programming, which provides a suitable framework for the attainment of high-quality solutions with acceptable computational effort using efficient off-the-shelf software with well-known convergence properties. The effectiveness of the proposed planning methodology is empirically demonstrated by providing cheaper expansion plans that enhance system reliability and by achieving better computational results as compared with state-of-the-art models.
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spelling Multistage reliability-based expansion planning of AC distribution networks using a mixed-integer linear programming modelAC network modelDistribution network expansion planningMixed-integer linear programmingMultistageReliabilityA new mathematical model for the multistage distribution network expansion planning problem considering reliability is proposed in this paper. Decisions related to substation and branch expansion are driven by the minimization of the total cost, which comprises investment and operating costs including the impact of reliability. The proposed model features two main novelties. First, a set of novel algebraic expressions is devised for a standard reliability index, namely the expected energy not supplied. As a result, the dependence of reliability on network topology is explicitly and effectively cast in the mathematical formulation of the planning problem at hand. In addition, the effect of the network is characterized by a computationally efficient piecewise linear representation of the ac power flow model that takes into account both real and reactive power. The resulting optimization problem is formulated as an instance of mixed-integer linear programming, which provides a suitable framework for the attainment of high-quality solutions with acceptable computational effort using efficient off-the-shelf software with well-known convergence properties. The effectiveness of the proposed planning methodology is empirically demonstrated by providing cheaper expansion plans that enhance system reliability and by achieving better computational results as compared with state-of-the-art models.Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Ministerio de Ciencia, Innovación y UniversidadesDepartment of Electrical Engineering São Paulo State UniversityEscuela Técnica Superior de Ingeniería Industrial Universidad de Castilla-La ManchaSchool of Energy Engineering São Paulo State UniversityDepartment of Electrical Engineering São Paulo State UniversitySchool of Energy Engineering São Paulo State UniversityCNPq: 152002/2016-2FAPESP: 2017/02831-8FAPESP: 2018/ 20990–9CNPq: 313047/2017-0Ministerio de Ciencia, Innovación y Universidades: RTI2018-096108-A-I00Ministerio de Ciencia, Innovación y Universidades: RTI2018-098703-B-I00Universidade Estadual Paulista (UNESP)Universidad de Castilla-La ManchaTabares, Alejandra [UNESP]Muñoz-Delgado, GregorioFranco, John F. [UNESP]Arroyo, José M.Contreras, Javier2022-04-28T19:49:45Z2022-04-28T19:49:45Z2022-06-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1016/j.ijepes.2021.107916International Journal of Electrical Power and Energy Systems, v. 138.0142-0615http://hdl.handle.net/11449/22329710.1016/j.ijepes.2021.1079162-s2.0-85123199492Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengInternational Journal of Electrical Power and Energy Systemsinfo:eu-repo/semantics/openAccess2022-04-28T19:49:45Zoai:repositorio.unesp.br:11449/223297Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T17:08:12.446414Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Multistage reliability-based expansion planning of AC distribution networks using a mixed-integer linear programming model
title Multistage reliability-based expansion planning of AC distribution networks using a mixed-integer linear programming model
spellingShingle Multistage reliability-based expansion planning of AC distribution networks using a mixed-integer linear programming model
Tabares, Alejandra [UNESP]
AC network model
Distribution network expansion planning
Mixed-integer linear programming
Multistage
Reliability
title_short Multistage reliability-based expansion planning of AC distribution networks using a mixed-integer linear programming model
title_full Multistage reliability-based expansion planning of AC distribution networks using a mixed-integer linear programming model
title_fullStr Multistage reliability-based expansion planning of AC distribution networks using a mixed-integer linear programming model
title_full_unstemmed Multistage reliability-based expansion planning of AC distribution networks using a mixed-integer linear programming model
title_sort Multistage reliability-based expansion planning of AC distribution networks using a mixed-integer linear programming model
author Tabares, Alejandra [UNESP]
author_facet Tabares, Alejandra [UNESP]
Muñoz-Delgado, Gregorio
Franco, John F. [UNESP]
Arroyo, José M.
Contreras, Javier
author_role author
author2 Muñoz-Delgado, Gregorio
Franco, John F. [UNESP]
Arroyo, José M.
Contreras, Javier
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (UNESP)
Universidad de Castilla-La Mancha
dc.contributor.author.fl_str_mv Tabares, Alejandra [UNESP]
Muñoz-Delgado, Gregorio
Franco, John F. [UNESP]
Arroyo, José M.
Contreras, Javier
dc.subject.por.fl_str_mv AC network model
Distribution network expansion planning
Mixed-integer linear programming
Multistage
Reliability
topic AC network model
Distribution network expansion planning
Mixed-integer linear programming
Multistage
Reliability
description A new mathematical model for the multistage distribution network expansion planning problem considering reliability is proposed in this paper. Decisions related to substation and branch expansion are driven by the minimization of the total cost, which comprises investment and operating costs including the impact of reliability. The proposed model features two main novelties. First, a set of novel algebraic expressions is devised for a standard reliability index, namely the expected energy not supplied. As a result, the dependence of reliability on network topology is explicitly and effectively cast in the mathematical formulation of the planning problem at hand. In addition, the effect of the network is characterized by a computationally efficient piecewise linear representation of the ac power flow model that takes into account both real and reactive power. The resulting optimization problem is formulated as an instance of mixed-integer linear programming, which provides a suitable framework for the attainment of high-quality solutions with acceptable computational effort using efficient off-the-shelf software with well-known convergence properties. The effectiveness of the proposed planning methodology is empirically demonstrated by providing cheaper expansion plans that enhance system reliability and by achieving better computational results as compared with state-of-the-art models.
publishDate 2022
dc.date.none.fl_str_mv 2022-04-28T19:49:45Z
2022-04-28T19:49:45Z
2022-06-01
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.2021.107916
International Journal of Electrical Power and Energy Systems, v. 138.
0142-0615
http://hdl.handle.net/11449/223297
10.1016/j.ijepes.2021.107916
2-s2.0-85123199492
url http://dx.doi.org/10.1016/j.ijepes.2021.107916
http://hdl.handle.net/11449/223297
identifier_str_mv International Journal of Electrical Power and Energy Systems, v. 138.
0142-0615
10.1016/j.ijepes.2021.107916
2-s2.0-85123199492
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_ 1808128759890444288