Defining Customer Export Limits in PV-Rich Low Voltage Networks
Autor(a) principal: | |
---|---|
Data de Publicação: | 2018 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1109/TPWRS.2018.2853740 http://hdl.handle.net/11449/177167 |
Resumo: | The growing adoption of residential photovoltaic (PV) systems around the world is presenting Distribution Network Operators (DNOs) with technical challenges, particularly on Low Voltage (LV) networks. The need to mitigate these issues with simple yet effective measures in countries with high PV penetrations is likely to drive the adoption of limits on the very exports that affect this infrastructure. Defining the most adequate limit, however, requires understanding the trade-offs between the technical benefits and the effects on PV owners. This work proposes two methodologies: an Optimal Power Flow (OPF)-based technique to define the export limit that solves technical problems with minimal curtailment, and a Monte Carlo-based analysis to investigate the spectrum of such trade-offs considering different PV penetrations and export limits. A real UK residential LV network with 180 customers is analyzed using realistic 1-min resolution daily load and PV generation profiles across seasons. Results demonstrate that, for DNOs, the OPF-based approach is effective in determining the most technically-adequate export limit. However, for policy makers, the spectrum of trade-offs provided by the Monte Carlo approach can help defining export limits that reduce curtailment at the expense of partially mitigating technical issues. |
id |
UNSP_34632d8ee2efccadf1740769eb846f48 |
---|---|
oai_identifier_str |
oai:repositorio.unesp.br:11449/177167 |
network_acronym_str |
UNSP |
network_name_str |
Repositório Institucional da UNESP |
repository_id_str |
2946 |
spelling |
Defining Customer Export Limits in PV-Rich Low Voltage NetworksLow voltage networksoptimal power flowphotovoltaicsPV managementThe growing adoption of residential photovoltaic (PV) systems around the world is presenting Distribution Network Operators (DNOs) with technical challenges, particularly on Low Voltage (LV) networks. The need to mitigate these issues with simple yet effective measures in countries with high PV penetrations is likely to drive the adoption of limits on the very exports that affect this infrastructure. Defining the most adequate limit, however, requires understanding the trade-offs between the technical benefits and the effects on PV owners. This work proposes two methodologies: an Optimal Power Flow (OPF)-based technique to define the export limit that solves technical problems with minimal curtailment, and a Monte Carlo-based analysis to investigate the spectrum of such trade-offs considering different PV penetrations and export limits. A real UK residential LV network with 180 customers is analyzed using realistic 1-min resolution daily load and PV generation profiles across seasons. Results demonstrate that, for DNOs, the OPF-based approach is effective in determining the most technically-adequate export limit. However, for policy makers, the spectrum of trade-offs provided by the Monte Carlo approach can help defining export limits that reduce curtailment at the expense of partially mitigating technical issues.Department of Systems and Energy, University of Campinas, Campinas, SP Brazil 13083852 (e-mail: tiago@dsee.fee.unicamp.br)Department of Electrical and Electronic Engineering, The University of Melbourne, Melbourne, Victoria Australia (e-mail: kpetrou@student.unimelb.edu.au)School of Energy Engineering, UNESP - Rosana, Rosana, Säo Paulo Brazil 19274-000 (e-mail: jffranco@gmail.com)Department of Electrical and Electronic Engineering, The University of Melbourne, Melbourne, Victoria Australia (e-mail: luis_ochoa@ieee.org)Universidade Estadual de Campinas (UNICAMP)Universidade Estadual Paulista (Unesp)Ricciardi, Tiago R.Petrou, KyriacosFranco, JohnOchoa, Luis F.2018-12-11T17:24:18Z2018-12-11T17:24:18Z2018-07-18info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://dx.doi.org/10.1109/TPWRS.2018.2853740IEEE Transactions on Power Systems.0885-8950http://hdl.handle.net/11449/17716710.1109/TPWRS.2018.28537402-s2.0-850502276942-s2.0-85050227694.pdfScopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengIEEE Transactions on Power Systems2,742info:eu-repo/semantics/openAccess2024-08-06T18:56:02Zoai:repositorio.unesp.br:11449/177167Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-06T18:56:02Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Defining Customer Export Limits in PV-Rich Low Voltage Networks |
title |
Defining Customer Export Limits in PV-Rich Low Voltage Networks |
spellingShingle |
Defining Customer Export Limits in PV-Rich Low Voltage Networks Ricciardi, Tiago R. Low voltage networks optimal power flow photovoltaics PV management |
title_short |
Defining Customer Export Limits in PV-Rich Low Voltage Networks |
title_full |
Defining Customer Export Limits in PV-Rich Low Voltage Networks |
title_fullStr |
Defining Customer Export Limits in PV-Rich Low Voltage Networks |
title_full_unstemmed |
Defining Customer Export Limits in PV-Rich Low Voltage Networks |
title_sort |
Defining Customer Export Limits in PV-Rich Low Voltage Networks |
author |
Ricciardi, Tiago R. |
author_facet |
Ricciardi, Tiago R. Petrou, Kyriacos Franco, John Ochoa, Luis F. |
author_role |
author |
author2 |
Petrou, Kyriacos Franco, John Ochoa, Luis F. |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual de Campinas (UNICAMP) Universidade Estadual Paulista (Unesp) |
dc.contributor.author.fl_str_mv |
Ricciardi, Tiago R. Petrou, Kyriacos Franco, John Ochoa, Luis F. |
dc.subject.por.fl_str_mv |
Low voltage networks optimal power flow photovoltaics PV management |
topic |
Low voltage networks optimal power flow photovoltaics PV management |
description |
The growing adoption of residential photovoltaic (PV) systems around the world is presenting Distribution Network Operators (DNOs) with technical challenges, particularly on Low Voltage (LV) networks. The need to mitigate these issues with simple yet effective measures in countries with high PV penetrations is likely to drive the adoption of limits on the very exports that affect this infrastructure. Defining the most adequate limit, however, requires understanding the trade-offs between the technical benefits and the effects on PV owners. This work proposes two methodologies: an Optimal Power Flow (OPF)-based technique to define the export limit that solves technical problems with minimal curtailment, and a Monte Carlo-based analysis to investigate the spectrum of such trade-offs considering different PV penetrations and export limits. A real UK residential LV network with 180 customers is analyzed using realistic 1-min resolution daily load and PV generation profiles across seasons. Results demonstrate that, for DNOs, the OPF-based approach is effective in determining the most technically-adequate export limit. However, for policy makers, the spectrum of trade-offs provided by the Monte Carlo approach can help defining export limits that reduce curtailment at the expense of partially mitigating technical issues. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-12-11T17:24:18Z 2018-12-11T17:24:18Z 2018-07-18 |
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/10.1109/TPWRS.2018.2853740 IEEE Transactions on Power Systems. 0885-8950 http://hdl.handle.net/11449/177167 10.1109/TPWRS.2018.2853740 2-s2.0-85050227694 2-s2.0-85050227694.pdf |
url |
http://dx.doi.org/10.1109/TPWRS.2018.2853740 http://hdl.handle.net/11449/177167 |
identifier_str_mv |
IEEE Transactions on Power Systems. 0885-8950 10.1109/TPWRS.2018.2853740 2-s2.0-85050227694 2-s2.0-85050227694.pdf |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
IEEE Transactions on Power Systems 2,742 |
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.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_ |
1808128142320074752 |