Advanced control of OLTC-enabled LV networks with PV systems and EVs
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.2019.0208 http://hdl.handle.net/11449/187885 |
Resumo: | The simultaneous uptake of residential photovoltaic (PV) systems and electric vehicles (EVs) can lead to contrasting voltage problems (i.e. voltage rise and drop) in low-voltage (LV) networks throughout the day. While solutions that directly manage these technologies can be effective in mitigating their impacts, they affect or require interactions with customers. A more practical alternative for distribution network operators (DNOs) is, therefore, to manage voltages using only network assets. For this purpose, two advanced methods to control on-load tap changer fitted transformers, owned and operated by DNOs, are proposed: a rule-based control method that only requires monitoring from remote points and a three-phase optimal power flow-based control method that requires full observability and adopts a simple – yet effective – forecasting to cater for future uncertainties. The performance of the proposed methods is thoroughly assessed within a stochastic approach on a real UK LV network considering realistic 1 min resolution demand, PV, and EV profiles. Results show that both methods are effective in managing contrasting voltage problems caused by both PV systems and EVs. While the optimisation method leads to the lowest number of tap changes, the rule-based method, given its limited observability requirement, could be considered a practical interim solution. |
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Repositório Institucional da UNESP |
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Advanced control of OLTC-enabled LV networks with PV systems and EVsThe simultaneous uptake of residential photovoltaic (PV) systems and electric vehicles (EVs) can lead to contrasting voltage problems (i.e. voltage rise and drop) in low-voltage (LV) networks throughout the day. While solutions that directly manage these technologies can be effective in mitigating their impacts, they affect or require interactions with customers. A more practical alternative for distribution network operators (DNOs) is, therefore, to manage voltages using only network assets. For this purpose, two advanced methods to control on-load tap changer fitted transformers, owned and operated by DNOs, are proposed: a rule-based control method that only requires monitoring from remote points and a three-phase optimal power flow-based control method that requires full observability and adopts a simple – yet effective – forecasting to cater for future uncertainties. The performance of the proposed methods is thoroughly assessed within a stochastic approach on a real UK LV network considering realistic 1 min resolution demand, PV, and EV profiles. Results show that both methods are effective in managing contrasting voltage problems caused by both PV systems and EVs. While the optimisation method leads to the lowest number of tap changes, the rule-based method, given its limited observability requirement, could be considered a practical interim solution.School of Energy Engineering São Paulo State University UNESPDepartment of Electrical and Electronic Engineering University of MelbourneEPERLab School of Electrical Engineering University of Costa RicaSchool of Electrical and Electronic Engineering University of ManchesterSchool of Energy Engineering São Paulo State University UNESPUniversidade Estadual Paulista (Unesp)University of MelbourneUniversity of Costa RicaUniversity of ManchesterFranco, John Fredy [UNESP]Procopiou, Andreas T.Quirós-Tortós, JairoOchoa, Luis F.2019-10-06T15:50:17Z2019-10-06T15:50:17Z2019-07-23info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article2967-2975http://dx.doi.org/10.1049/iet-gtd.2019.0208IET Generation, Transmission and Distribution, v. 13, n. 14, p. 2967-2975, 2019.1751-8687http://hdl.handle.net/11449/18788510.1049/iet-gtd.2019.02082-s2.0-85069480879Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengIET Generation, Transmission and Distributioninfo:eu-repo/semantics/openAccess2021-10-23T19:23:43Zoai:repositorio.unesp.br:11449/187885Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462021-10-23T19:23:43Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Advanced control of OLTC-enabled LV networks with PV systems and EVs |
title |
Advanced control of OLTC-enabled LV networks with PV systems and EVs |
spellingShingle |
Advanced control of OLTC-enabled LV networks with PV systems and EVs Franco, John Fredy [UNESP] |
title_short |
Advanced control of OLTC-enabled LV networks with PV systems and EVs |
title_full |
Advanced control of OLTC-enabled LV networks with PV systems and EVs |
title_fullStr |
Advanced control of OLTC-enabled LV networks with PV systems and EVs |
title_full_unstemmed |
Advanced control of OLTC-enabled LV networks with PV systems and EVs |
title_sort |
Advanced control of OLTC-enabled LV networks with PV systems and EVs |
author |
Franco, John Fredy [UNESP] |
author_facet |
Franco, John Fredy [UNESP] Procopiou, Andreas T. Quirós-Tortós, Jairo Ochoa, Luis F. |
author_role |
author |
author2 |
Procopiou, Andreas T. Quirós-Tortós, Jairo Ochoa, Luis F. |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) University of Melbourne University of Costa Rica University of Manchester |
dc.contributor.author.fl_str_mv |
Franco, John Fredy [UNESP] Procopiou, Andreas T. Quirós-Tortós, Jairo Ochoa, Luis F. |
description |
The simultaneous uptake of residential photovoltaic (PV) systems and electric vehicles (EVs) can lead to contrasting voltage problems (i.e. voltage rise and drop) in low-voltage (LV) networks throughout the day. While solutions that directly manage these technologies can be effective in mitigating their impacts, they affect or require interactions with customers. A more practical alternative for distribution network operators (DNOs) is, therefore, to manage voltages using only network assets. For this purpose, two advanced methods to control on-load tap changer fitted transformers, owned and operated by DNOs, are proposed: a rule-based control method that only requires monitoring from remote points and a three-phase optimal power flow-based control method that requires full observability and adopts a simple – yet effective – forecasting to cater for future uncertainties. The performance of the proposed methods is thoroughly assessed within a stochastic approach on a real UK LV network considering realistic 1 min resolution demand, PV, and EV profiles. Results show that both methods are effective in managing contrasting voltage problems caused by both PV systems and EVs. While the optimisation method leads to the lowest number of tap changes, the rule-based method, given its limited observability requirement, could be considered a practical interim solution. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-10-06T15:50:17Z 2019-10-06T15:50:17Z 2019-07-23 |
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.2019.0208 IET Generation, Transmission and Distribution, v. 13, n. 14, p. 2967-2975, 2019. 1751-8687 http://hdl.handle.net/11449/187885 10.1049/iet-gtd.2019.0208 2-s2.0-85069480879 |
url |
http://dx.doi.org/10.1049/iet-gtd.2019.0208 http://hdl.handle.net/11449/187885 |
identifier_str_mv |
IET Generation, Transmission and Distribution, v. 13, n. 14, p. 2967-2975, 2019. 1751-8687 10.1049/iet-gtd.2019.0208 2-s2.0-85069480879 |
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 |
2967-2975 |
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_ |
1803047239567802368 |