Short-Term Electrical Distribution Systems Planning Considering Distributed Generation and Reliability
| Main Author: | |
|---|---|
| Publication Date: | 2017 |
| Other Authors: | , |
| 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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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 |
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info:eu-repo/semantics/openAccess |
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openAccess |
| dc.format.none.fl_str_mv |
552-566 application/pdf |
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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 |
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Repositório Institucional da UNESP |
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Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
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repositoriounesp@unesp.br |
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1834484520324169728 |