Impact of Distributed Generation in the Transmission System Expansion Planning

Bibliographic Details
Main Author: Silva, Tiago F. da
Publication Date: 2014
Other Authors: Souza, André, Canizes, Bruno, Vale, Zita
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10400.22/5891
Summary: In this work, the impact of distributed generation in the transmission expansion planning will be simulated through the performance of an optimization process for three different scenarios: the first without distributed generation, the second with distributed generation equivalent to 1% of the load, and the third with 5% of distributed generation. For modeling the expanding problem the load flow linearized method using genetic algorithms for optimization has been chosen. The test circuit used is a simplification of the south eastern Brazilian electricity system with 46 buses.
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spelling Impact of Distributed Generation in the Transmission System Expansion PlanningGenerationPower Transmission PlanningGenetic algorithmsIn this work, the impact of distributed generation in the transmission expansion planning will be simulated through the performance of an optimization process for three different scenarios: the first without distributed generation, the second with distributed generation equivalent to 1% of the load, and the third with 5% of distributed generation. For modeling the expanding problem the load flow linearized method using genetic algorithms for optimization has been chosen. The test circuit used is a simplification of the south eastern Brazilian electricity system with 46 buses.ELECON ProjectREPOSITÓRIO P.PORTOSilva, Tiago F. daSouza, AndréCanizes, BrunoVale, Zita2015-05-04T14:54:21Z2014-10-282014-10-28T00:00:00Zconference objectinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10400.22/5891enginfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-04-02T03:21:07Zoai:recipp.ipp.pt:10400.22/5891Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-29T00:52:32.100336Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Impact of Distributed Generation in the Transmission System Expansion Planning
title Impact of Distributed Generation in the Transmission System Expansion Planning
spellingShingle Impact of Distributed Generation in the Transmission System Expansion Planning
Silva, Tiago F. da
Generation
Power Transmission Planning
Genetic algorithms
title_short Impact of Distributed Generation in the Transmission System Expansion Planning
title_full Impact of Distributed Generation in the Transmission System Expansion Planning
title_fullStr Impact of Distributed Generation in the Transmission System Expansion Planning
title_full_unstemmed Impact of Distributed Generation in the Transmission System Expansion Planning
title_sort Impact of Distributed Generation in the Transmission System Expansion Planning
author Silva, Tiago F. da
author_facet Silva, Tiago F. da
Souza, André
Canizes, Bruno
Vale, Zita
author_role author
author2 Souza, André
Canizes, Bruno
Vale, Zita
author2_role author
author
author
dc.contributor.none.fl_str_mv REPOSITÓRIO P.PORTO
dc.contributor.author.fl_str_mv Silva, Tiago F. da
Souza, André
Canizes, Bruno
Vale, Zita
dc.subject.por.fl_str_mv Generation
Power Transmission Planning
Genetic algorithms
topic Generation
Power Transmission Planning
Genetic algorithms
description In this work, the impact of distributed generation in the transmission expansion planning will be simulated through the performance of an optimization process for three different scenarios: the first without distributed generation, the second with distributed generation equivalent to 1% of the load, and the third with 5% of distributed generation. For modeling the expanding problem the load flow linearized method using genetic algorithms for optimization has been chosen. The test circuit used is a simplification of the south eastern Brazilian electricity system with 46 buses.
publishDate 2014
dc.date.none.fl_str_mv 2014-10-28
2014-10-28T00:00:00Z
2015-05-04T14:54:21Z
dc.type.driver.fl_str_mv conference object
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.22/5891
url http://hdl.handle.net/10400.22/5891
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv ELECON Project
publisher.none.fl_str_mv ELECON Project
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
_version_ 1833600736135479296

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