Voltage-dependent load model-based shortterm distribution network planning considering carbon tax surplus

Detalhes bibliográficos
Autor(a) principal: Melgar-Dominguez, Ozy Daniel [UNESP]
Data de Publicação: 2019
Outros Autores: Pourakbari-Kasmaei, Mahdi, Lehtonen, Matti, Mantovani, José Roberto Sanches [UNESP]
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1049/iet-gtd.2018.6612
http://hdl.handle.net/11449/201180
Resumo: Nowadays, strategies to cope with environmental issues play a crucial role in the development of planning methodologies for electric distribution networks (EDNs). The primary goal of these methodologies is to find the equilibrium point, for which the EDN provides a high-quality service with the most environmentally-committed operation. Based on this fact, an alternative strategic approach for short-term EDN planning is presented. This decision-making scheme is based on classical investment actions to enhance the EDN performance in which the investment and operating costs, as well as the carbon tax surpluses, are minimised simultaneously. Unlike the traditional short-term planning methods and to explore a more accurate approach, the electricity demand is represented by the voltage-dependent exponential load model. By using this representation, substantial benefits related to energy saving can be achieved. To validate the proposed planning scheme, several test cases considering constant power demand and voltage-dependent representation are widely studied on a 135-node distribution network. Additionally, the scalability of the proposed planning scheme is studied by using two medium distribution networks of 42- and 417-node. Numerical results confirm the robustness and applicability of the presented approach as an appropriate way of promoting to an efficient and low carbon tax surplus network.
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spelling Voltage-dependent load model-based shortterm distribution network planning considering carbon tax surplusNowadays, strategies to cope with environmental issues play a crucial role in the development of planning methodologies for electric distribution networks (EDNs). The primary goal of these methodologies is to find the equilibrium point, for which the EDN provides a high-quality service with the most environmentally-committed operation. Based on this fact, an alternative strategic approach for short-term EDN planning is presented. This decision-making scheme is based on classical investment actions to enhance the EDN performance in which the investment and operating costs, as well as the carbon tax surpluses, are minimised simultaneously. Unlike the traditional short-term planning methods and to explore a more accurate approach, the electricity demand is represented by the voltage-dependent exponential load model. By using this representation, substantial benefits related to energy saving can be achieved. To validate the proposed planning scheme, several test cases considering constant power demand and voltage-dependent representation are widely studied on a 135-node distribution network. Additionally, the scalability of the proposed planning scheme is studied by using two medium distribution networks of 42- and 417-node. Numerical results confirm the robustness and applicability of the presented approach as an appropriate way of promoting to an efficient and low carbon tax surplus network.Department of Electrical Engineering São Paulo State University (UNESP)Department of Electrical Engineering and Automation Aalto University, Maarintie 8Department of Electrical Engineering São Paulo State University (UNESP)Universidade Estadual Paulista (Unesp)Aalto UniversityMelgar-Dominguez, Ozy Daniel [UNESP]Pourakbari-Kasmaei, MahdiLehtonen, MattiMantovani, José Roberto Sanches [UNESP]2020-12-12T02:26:07Z2020-12-12T02:26:07Z2019-09-03info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article3760-3770http://dx.doi.org/10.1049/iet-gtd.2018.6612IET Generation, Transmission and Distribution, v. 13, n. 17, p. 3760-3770, 2019.1751-8687http://hdl.handle.net/11449/20118010.1049/iet-gtd.2018.66122-s2.0-85072286802Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengIET Generation, Transmission and Distributioninfo:eu-repo/semantics/openAccess2021-10-22T12:25:09Zoai:repositorio.unesp.br:11449/201180Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462021-10-22T12:25:09Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Voltage-dependent load model-based shortterm distribution network planning considering carbon tax surplus
title Voltage-dependent load model-based shortterm distribution network planning considering carbon tax surplus
spellingShingle Voltage-dependent load model-based shortterm distribution network planning considering carbon tax surplus
Melgar-Dominguez, Ozy Daniel [UNESP]
title_short Voltage-dependent load model-based shortterm distribution network planning considering carbon tax surplus
title_full Voltage-dependent load model-based shortterm distribution network planning considering carbon tax surplus
title_fullStr Voltage-dependent load model-based shortterm distribution network planning considering carbon tax surplus
title_full_unstemmed Voltage-dependent load model-based shortterm distribution network planning considering carbon tax surplus
title_sort Voltage-dependent load model-based shortterm distribution network planning considering carbon tax surplus
author Melgar-Dominguez, Ozy Daniel [UNESP]
author_facet Melgar-Dominguez, Ozy Daniel [UNESP]
Pourakbari-Kasmaei, Mahdi
Lehtonen, Matti
Mantovani, José Roberto Sanches [UNESP]
author_role author
author2 Pourakbari-Kasmaei, Mahdi
Lehtonen, Matti
Mantovani, José Roberto Sanches [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 Daniel [UNESP]
Pourakbari-Kasmaei, Mahdi
Lehtonen, Matti
Mantovani, José Roberto Sanches [UNESP]
description Nowadays, strategies to cope with environmental issues play a crucial role in the development of planning methodologies for electric distribution networks (EDNs). The primary goal of these methodologies is to find the equilibrium point, for which the EDN provides a high-quality service with the most environmentally-committed operation. Based on this fact, an alternative strategic approach for short-term EDN planning is presented. This decision-making scheme is based on classical investment actions to enhance the EDN performance in which the investment and operating costs, as well as the carbon tax surpluses, are minimised simultaneously. Unlike the traditional short-term planning methods and to explore a more accurate approach, the electricity demand is represented by the voltage-dependent exponential load model. By using this representation, substantial benefits related to energy saving can be achieved. To validate the proposed planning scheme, several test cases considering constant power demand and voltage-dependent representation are widely studied on a 135-node distribution network. Additionally, the scalability of the proposed planning scheme is studied by using two medium distribution networks of 42- and 417-node. Numerical results confirm the robustness and applicability of the presented approach as an appropriate way of promoting to an efficient and low carbon tax surplus network.
publishDate 2019
dc.date.none.fl_str_mv 2019-09-03
2020-12-12T02:26:07Z
2020-12-12T02:26:07Z
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/10.1049/iet-gtd.2018.6612
IET Generation, Transmission and Distribution, v. 13, n. 17, p. 3760-3770, 2019.
1751-8687
http://hdl.handle.net/11449/201180
10.1049/iet-gtd.2018.6612
2-s2.0-85072286802
url http://dx.doi.org/10.1049/iet-gtd.2018.6612
http://hdl.handle.net/11449/201180
identifier_str_mv IET Generation, Transmission and Distribution, v. 13, n. 17, p. 3760-3770, 2019.
1751-8687
10.1049/iet-gtd.2018.6612
2-s2.0-85072286802
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv IET Generation, Transmission and Distribution
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 3760-3770
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
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