Short-Term Electrical Distribution Systems Planning Considering Distributed Generation and Reliability

Bibliographic Details
Main Author: da Cunha Paiva, Rodrigo Rodrigues
Publication Date: 2017
Other Authors: Rueda-Medina, Augusto C. [UNESP], Mantovani, José Roberto S. [UNESP]
Format: Article
Language: eng
Source: Repositório Institucional da UNESP
Download full: http://dx.doi.org/10.1007/s40313-017-0323-1
http://hdl.handle.net/11449/178981
Summary: The distribution systems planning consists of finding an optimized configuration, at a low cost, which allows to keep the quality and reliability of energy supply. Distributed generators (DGs) make the planning problem more complex to be solved. Therefore, it is important to develop efficient computational tools to reduce costs and time in decision making, indicating where, when, and what types of components should be installed and/or replaced in the medium voltage electric distribution system in the presence of DGs. This paper proposes a short-term planning methodology for allocation of DGs, capacitor banks, control and protection devices, as well as the possibility of reconductoring of branches for the distribution network, while maintaining the quality of energy supply. The formulated multi-objective problem consists of minimizing the costs associated with investment, technical losses, and non-supplied energy of the distribution system, subject to physical, economic, and operational constraints. The reliability of the system is improved through allocation of control and protection devices and compact aerial structures. This problem is solved through an approach based on the non-dominated sorting genetic algorithm (NSGA-II). Tests were performed in a 135-bus distribution system, and the obtained results show the effectiveness of the proposed methodology.
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spelling Short-Term Electrical Distribution Systems Planning Considering Distributed Generation and ReliabilityDistributed generationDistribution systemsMulti-objective optimizationReliabilityThe distribution systems planning consists of finding an optimized configuration, at a low cost, which allows to keep the quality and reliability of energy supply. Distributed generators (DGs) make the planning problem more complex to be solved. Therefore, it is important to develop efficient computational tools to reduce costs and time in decision making, indicating where, when, and what types of components should be installed and/or replaced in the medium voltage electric distribution system in the presence of DGs. This paper proposes a short-term planning methodology for allocation of DGs, capacitor banks, control and protection devices, as well as the possibility of reconductoring of branches for the distribution network, while maintaining the quality of energy supply. The formulated multi-objective problem consists of minimizing the costs associated with investment, technical losses, and non-supplied energy of the distribution system, subject to physical, economic, and operational constraints. The reliability of the system is improved through allocation of control and protection devices and compact aerial structures. This problem is solved through an approach based on the non-dominated sorting genetic algorithm (NSGA-II). Tests were performed in a 135-bus distribution system, and the obtained results show the effectiveness of the proposed methodology.Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)IFMT - Campus de CuiabáFEIS UNESPFEIS UNESPFAPESP: 2012/15210-8FAPESP: 2013/23590-8CNPq: 305371/2012-6IFMT - Campus de CuiabáUniversidade Estadual Paulista (Unesp)da Cunha Paiva, Rodrigo RodriguesRueda-Medina, Augusto C. [UNESP]Mantovani, José Roberto S. [UNESP]2018-12-11T17:33:01Z2018-12-11T17:33:01Z2017-08-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article552-566application/pdfhttp://dx.doi.org/10.1007/s40313-017-0323-1Journal of Control, Automation and Electrical Systems, v. 28, n. 4, p. 552-566, 2017.2195-38992195-3880http://hdl.handle.net/11449/17898110.1007/s40313-017-0323-12-s2.0-850216781802-s2.0-85021678180.pdfScopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengJournal of Control, Automation and Electrical Systems0,2740,274info:eu-repo/semantics/openAccess2024-07-04T19:06:35Zoai:repositorio.unesp.br:11449/178981Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestrepositoriounesp@unesp.bropendoar:29462024-07-04T19:06:35Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Short-Term Electrical Distribution Systems Planning Considering Distributed Generation and Reliability
title Short-Term Electrical Distribution Systems Planning Considering Distributed Generation and Reliability
spellingShingle Short-Term Electrical Distribution Systems Planning Considering Distributed Generation and Reliability
da Cunha Paiva, Rodrigo Rodrigues
Distributed generation
Distribution systems
Multi-objective optimization
Reliability
title_short Short-Term Electrical Distribution Systems Planning Considering Distributed Generation and Reliability
title_full Short-Term Electrical Distribution Systems Planning Considering Distributed Generation and Reliability
title_fullStr Short-Term Electrical Distribution Systems Planning Considering Distributed Generation and Reliability
title_full_unstemmed Short-Term Electrical Distribution Systems Planning Considering Distributed Generation and Reliability
title_sort Short-Term Electrical Distribution Systems Planning Considering Distributed Generation and Reliability
author da Cunha Paiva, Rodrigo Rodrigues
author_facet da Cunha Paiva, Rodrigo Rodrigues
Rueda-Medina, Augusto C. [UNESP]
Mantovani, José Roberto S. [UNESP]
author_role author
author2 Rueda-Medina, Augusto C. [UNESP]
Mantovani, José Roberto S. [UNESP]
author2_role author
author
dc.contributor.none.fl_str_mv IFMT - Campus de Cuiabá
Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv da Cunha Paiva, Rodrigo Rodrigues
Rueda-Medina, Augusto C. [UNESP]
Mantovani, José Roberto S. [UNESP]
dc.subject.por.fl_str_mv Distributed generation
Distribution systems
Multi-objective optimization
Reliability
topic Distributed generation
Distribution systems
Multi-objective optimization
Reliability
description The distribution systems planning consists of finding an optimized configuration, at a low cost, which allows to keep the quality and reliability of energy supply. Distributed generators (DGs) make the planning problem more complex to be solved. Therefore, it is important to develop efficient computational tools to reduce costs and time in decision making, indicating where, when, and what types of components should be installed and/or replaced in the medium voltage electric distribution system in the presence of DGs. This paper proposes a short-term planning methodology for allocation of DGs, capacitor banks, control and protection devices, as well as the possibility of reconductoring of branches for the distribution network, while maintaining the quality of energy supply. The formulated multi-objective problem consists of minimizing the costs associated with investment, technical losses, and non-supplied energy of the distribution system, subject to physical, economic, and operational constraints. The reliability of the system is improved through allocation of control and protection devices and compact aerial structures. This problem is solved through an approach based on the non-dominated sorting genetic algorithm (NSGA-II). Tests were performed in a 135-bus distribution system, and the obtained results show the effectiveness of the proposed methodology.
publishDate 2017
dc.date.none.fl_str_mv 2017-08-01
2018-12-11T17:33:01Z
2018-12-11T17:33:01Z
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/10.1007/s40313-017-0323-1
Journal of Control, Automation and Electrical Systems, v. 28, n. 4, p. 552-566, 2017.
2195-3899
2195-3880
http://hdl.handle.net/11449/178981
10.1007/s40313-017-0323-1
2-s2.0-85021678180
2-s2.0-85021678180.pdf
url http://dx.doi.org/10.1007/s40313-017-0323-1
http://hdl.handle.net/11449/178981
identifier_str_mv Journal of Control, Automation and Electrical Systems, v. 28, n. 4, p. 552-566, 2017.
2195-3899
2195-3880
10.1007/s40313-017-0323-1
2-s2.0-85021678180
2-s2.0-85021678180.pdf
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Journal of Control, Automation and Electrical Systems
0,274
0,274
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 552-566
application/pdf
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 repositoriounesp@unesp.br
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