Defining Customer Export Limits in PV-Rich Low Voltage Networks

Detalhes bibliográficos
Autor(a) principal: Ricciardi, Tiago R.
Data de Publicação: 2018
Outros Autores: Petrou, Kyriacos, Franco, John, Ochoa, Luis F.
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.
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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
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