Voltage-dependent load model-based shortterm distribution network planning considering carbon tax surplus
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , |
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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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/openAccess2024-07-04T19:06:03Zoai:repositorio.unesp.br:11449/201180Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T16:30:10.810340Repositório 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 |
|
_version_ |
1808128661746876416 |