An economic-environmental asset planning in electric distribution networks considering carbon emission trading and demand response
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1016/j.epsr.2020.106202 http://hdl.handle.net/11449/199907 |
Resumo: | Initiatives such as government programs and investment in low-carbon technologies have been adopted to mitigate the carbon emissions in the electricity sector. These initiatives have resulted in new challenges in the power sector, and to address them adequately, innovative frameworks are required in the electric distribution network (EDN) expansion planning and operation problems. Therefore, this work proposes an environmentally committed asset planning approach to remedy the existing issues to some extent. The proposed strategy investigates the benefits of the simultaneous allocation of several assets such as capacitor banks (CBs), distributed generation (DG) units based on renewable energy sources, and energy storage systems (ESSs). Moreover, an innovative carbon emission trading scheme is formulated in the planning stage to mitigate the CO2 emissions while a demand response program is applied to modify the consumption behavior. The proposed approach is formulated as a two-stage robust mixed-integer programming model, which considers uncertainties associated with the electricity demand and renewable-based DG. To cope with the difficulties of this complex model, utilizing an efficient decomposition algorithm, such as the C&CG decomposition algorithm, is essential. The potential of the proposed approach is studied under different operating conditions and via several test cases on a 137-node EDN. In addition, to validate the performance of the proposed carbon emission scheme, a multi-region 54-node distribution network is adequately evaluated. Results show that by considering simultaneously multiple planning alternatives, carbon emission trading scheme, and the demand response program, the total CO2 emissions are reduced by up to 15%. |
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Repositório Institucional da UNESP |
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An economic-environmental asset planning in electric distribution networks considering carbon emission trading and demand responseAsset planningCarbon emission tradingDemand responseDistributed generationDistribution networksInitiatives such as government programs and investment in low-carbon technologies have been adopted to mitigate the carbon emissions in the electricity sector. These initiatives have resulted in new challenges in the power sector, and to address them adequately, innovative frameworks are required in the electric distribution network (EDN) expansion planning and operation problems. Therefore, this work proposes an environmentally committed asset planning approach to remedy the existing issues to some extent. The proposed strategy investigates the benefits of the simultaneous allocation of several assets such as capacitor banks (CBs), distributed generation (DG) units based on renewable energy sources, and energy storage systems (ESSs). Moreover, an innovative carbon emission trading scheme is formulated in the planning stage to mitigate the CO2 emissions while a demand response program is applied to modify the consumption behavior. The proposed approach is formulated as a two-stage robust mixed-integer programming model, which considers uncertainties associated with the electricity demand and renewable-based DG. To cope with the difficulties of this complex model, utilizing an efficient decomposition algorithm, such as the C&CG decomposition algorithm, is essential. The potential of the proposed approach is studied under different operating conditions and via several test cases on a 137-node EDN. In addition, to validate the performance of the proposed carbon emission scheme, a multi-region 54-node distribution network is adequately evaluated. Results show that by considering simultaneously multiple planning alternatives, carbon emission trading scheme, and the demand response program, the total CO2 emissions are reduced by up to 15%.Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)The Department of Electrical Engineering São Paulo State University (UNESP), Ilha SolteiraThe Department of Electrical Engineering and Automation Aalto University, Maarintie 8The Department of Electrical Engineering São Paulo State University (UNESP), Ilha SolteiraFAPESP: 2015/21972-6FAPESP: 2018/12422-0CNPq: 305318/2016-0Universidade Estadual Paulista (Unesp)Aalto UniversityMelgar-Dominguez, Ozy D. [UNESP]Pourakbari-Kasmaei, MahdiLehtonen, MattiSanches Mantovani, José R. [UNESP]2020-12-12T01:52:30Z2020-12-12T01:52:30Z2020-04-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1016/j.epsr.2020.106202Electric Power Systems Research, v. 181.0378-7796http://hdl.handle.net/11449/19990710.1016/j.epsr.2020.1062022-s2.0-85077507925Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengElectric Power Systems Researchinfo:eu-repo/semantics/openAccess2024-07-04T19:06:25Zoai:repositorio.unesp.br:11449/199907Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T19:29:13.350784Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
An economic-environmental asset planning in electric distribution networks considering carbon emission trading and demand response |
title |
An economic-environmental asset planning in electric distribution networks considering carbon emission trading and demand response |
spellingShingle |
An economic-environmental asset planning in electric distribution networks considering carbon emission trading and demand response Melgar-Dominguez, Ozy D. [UNESP] Asset planning Carbon emission trading Demand response Distributed generation Distribution networks |
title_short |
An economic-environmental asset planning in electric distribution networks considering carbon emission trading and demand response |
title_full |
An economic-environmental asset planning in electric distribution networks considering carbon emission trading and demand response |
title_fullStr |
An economic-environmental asset planning in electric distribution networks considering carbon emission trading and demand response |
title_full_unstemmed |
An economic-environmental asset planning in electric distribution networks considering carbon emission trading and demand response |
title_sort |
An economic-environmental asset planning in electric distribution networks considering carbon emission trading and demand response |
author |
Melgar-Dominguez, Ozy D. [UNESP] |
author_facet |
Melgar-Dominguez, Ozy D. [UNESP] Pourakbari-Kasmaei, Mahdi Lehtonen, Matti Sanches Mantovani, José R. [UNESP] |
author_role |
author |
author2 |
Pourakbari-Kasmaei, Mahdi Lehtonen, Matti Sanches Mantovani, José R. [UNESP] |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) Aalto University |
dc.contributor.author.fl_str_mv |
Melgar-Dominguez, Ozy D. [UNESP] Pourakbari-Kasmaei, Mahdi Lehtonen, Matti Sanches Mantovani, José R. [UNESP] |
dc.subject.por.fl_str_mv |
Asset planning Carbon emission trading Demand response Distributed generation Distribution networks |
topic |
Asset planning Carbon emission trading Demand response Distributed generation Distribution networks |
description |
Initiatives such as government programs and investment in low-carbon technologies have been adopted to mitigate the carbon emissions in the electricity sector. These initiatives have resulted in new challenges in the power sector, and to address them adequately, innovative frameworks are required in the electric distribution network (EDN) expansion planning and operation problems. Therefore, this work proposes an environmentally committed asset planning approach to remedy the existing issues to some extent. The proposed strategy investigates the benefits of the simultaneous allocation of several assets such as capacitor banks (CBs), distributed generation (DG) units based on renewable energy sources, and energy storage systems (ESSs). Moreover, an innovative carbon emission trading scheme is formulated in the planning stage to mitigate the CO2 emissions while a demand response program is applied to modify the consumption behavior. The proposed approach is formulated as a two-stage robust mixed-integer programming model, which considers uncertainties associated with the electricity demand and renewable-based DG. To cope with the difficulties of this complex model, utilizing an efficient decomposition algorithm, such as the C&CG decomposition algorithm, is essential. The potential of the proposed approach is studied under different operating conditions and via several test cases on a 137-node EDN. In addition, to validate the performance of the proposed carbon emission scheme, a multi-region 54-node distribution network is adequately evaluated. Results show that by considering simultaneously multiple planning alternatives, carbon emission trading scheme, and the demand response program, the total CO2 emissions are reduced by up to 15%. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-12-12T01:52:30Z 2020-12-12T01:52:30Z 2020-04-01 |
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.epsr.2020.106202 Electric Power Systems Research, v. 181. 0378-7796 http://hdl.handle.net/11449/199907 10.1016/j.epsr.2020.106202 2-s2.0-85077507925 |
url |
http://dx.doi.org/10.1016/j.epsr.2020.106202 http://hdl.handle.net/11449/199907 |
identifier_str_mv |
Electric Power Systems Research, v. 181. 0378-7796 10.1016/j.epsr.2020.106202 2-s2.0-85077507925 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Electric Power Systems Research |
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_ |
1808129075717341184 |