Stochastic analysis of hosting capacity in low-voltage networks with PV-plus-storage systems
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , |
Tipo de documento: | Artigo de conferência |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1109/TDLA47668.2020.9326142 http://hdl.handle.net/11449/205877 |
Resumo: | The reduction of residential-scale battery energy storage (BES) systems prices and the increase in electricity prices motivate consumers to update their photovoltaic (PV) systems toward PV-plus-storage systems. In this paper, we propose a stochastic analysis to determine the hosting capacity in low-voltage (LV) networks with PV and PV-plus-storage systems. Uncertainties in sizes and locations of PV systems and the location of energy BES systems are considered. The analysis considers two operational modes of inverters: at unity power factor and following a voltage control curve. Results indicate that the use of PV-plus-storage systems improves the hosting capacity. The selection of the operational mode of inverters must be carefully done, as it can increase power losses. The proposed method is useful to utilities for decision-making about actions that mitigate the overvoltage. |
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Stochastic analysis of hosting capacity in low-voltage networks with PV-plus-storage systemsBattery energy storage systemsHosting capacityLow-voltage networksPV systemsPV-plus-storage systemsThe reduction of residential-scale battery energy storage (BES) systems prices and the increase in electricity prices motivate consumers to update their photovoltaic (PV) systems toward PV-plus-storage systems. In this paper, we propose a stochastic analysis to determine the hosting capacity in low-voltage (LV) networks with PV and PV-plus-storage systems. Uncertainties in sizes and locations of PV systems and the location of energy BES systems are considered. The analysis considers two operational modes of inverters: at unity power factor and following a voltage control curve. Results indicate that the use of PV-plus-storage systems improves the hosting capacity. The selection of the operational mode of inverters must be carefully done, as it can increase power losses. The proposed method is useful to utilities for decision-making about actions that mitigate the overvoltage.UNESP - São Paulo State University Dept. of Electrical EngineeringCECS Federal University of ABC UFABC The Engineering Modeling and Applied Social Sciences CenterUNESP - São Paulo State University Dept. of Electrical EngineeringUniversidade Estadual Paulista (Unesp)Universidade Federal do ABC (UFABC)Gastelu, Joel Villavicencio [UNESP]Leite, Jonatas Boas [UNESP]Trujillo, Joel David Melo2021-06-25T10:22:47Z2021-06-25T10:22:47Z2020-09-28info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjecthttp://dx.doi.org/10.1109/TDLA47668.2020.93261422020 IEEE PES Transmission and Distribution Conference and Exhibition - Latin America, T and D LA 2020.http://hdl.handle.net/11449/20587710.1109/TDLA47668.2020.93261422-s2.0-85100842107Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPeng2020 IEEE PES Transmission and Distribution Conference and Exhibition - Latin America, T and D LA 2020info:eu-repo/semantics/openAccess2021-10-22T19:38:57Zoai:repositorio.unesp.br:11449/205877Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462021-10-22T19:38:57Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Stochastic analysis of hosting capacity in low-voltage networks with PV-plus-storage systems |
title |
Stochastic analysis of hosting capacity in low-voltage networks with PV-plus-storage systems |
spellingShingle |
Stochastic analysis of hosting capacity in low-voltage networks with PV-plus-storage systems Gastelu, Joel Villavicencio [UNESP] Battery energy storage systems Hosting capacity Low-voltage networks PV systems PV-plus-storage systems |
title_short |
Stochastic analysis of hosting capacity in low-voltage networks with PV-plus-storage systems |
title_full |
Stochastic analysis of hosting capacity in low-voltage networks with PV-plus-storage systems |
title_fullStr |
Stochastic analysis of hosting capacity in low-voltage networks with PV-plus-storage systems |
title_full_unstemmed |
Stochastic analysis of hosting capacity in low-voltage networks with PV-plus-storage systems |
title_sort |
Stochastic analysis of hosting capacity in low-voltage networks with PV-plus-storage systems |
author |
Gastelu, Joel Villavicencio [UNESP] |
author_facet |
Gastelu, Joel Villavicencio [UNESP] Leite, Jonatas Boas [UNESP] Trujillo, Joel David Melo |
author_role |
author |
author2 |
Leite, Jonatas Boas [UNESP] Trujillo, Joel David Melo |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) Universidade Federal do ABC (UFABC) |
dc.contributor.author.fl_str_mv |
Gastelu, Joel Villavicencio [UNESP] Leite, Jonatas Boas [UNESP] Trujillo, Joel David Melo |
dc.subject.por.fl_str_mv |
Battery energy storage systems Hosting capacity Low-voltage networks PV systems PV-plus-storage systems |
topic |
Battery energy storage systems Hosting capacity Low-voltage networks PV systems PV-plus-storage systems |
description |
The reduction of residential-scale battery energy storage (BES) systems prices and the increase in electricity prices motivate consumers to update their photovoltaic (PV) systems toward PV-plus-storage systems. In this paper, we propose a stochastic analysis to determine the hosting capacity in low-voltage (LV) networks with PV and PV-plus-storage systems. Uncertainties in sizes and locations of PV systems and the location of energy BES systems are considered. The analysis considers two operational modes of inverters: at unity power factor and following a voltage control curve. Results indicate that the use of PV-plus-storage systems improves the hosting capacity. The selection of the operational mode of inverters must be carefully done, as it can increase power losses. The proposed method is useful to utilities for decision-making about actions that mitigate the overvoltage. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-09-28 2021-06-25T10:22:47Z 2021-06-25T10:22:47Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/conferenceObject |
format |
conferenceObject |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1109/TDLA47668.2020.9326142 2020 IEEE PES Transmission and Distribution Conference and Exhibition - Latin America, T and D LA 2020. http://hdl.handle.net/11449/205877 10.1109/TDLA47668.2020.9326142 2-s2.0-85100842107 |
url |
http://dx.doi.org/10.1109/TDLA47668.2020.9326142 http://hdl.handle.net/11449/205877 |
identifier_str_mv |
2020 IEEE PES Transmission and Distribution Conference and Exhibition - Latin America, T and D LA 2020. 10.1109/TDLA47668.2020.9326142 2-s2.0-85100842107 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2020 IEEE PES Transmission and Distribution Conference and Exhibition - Latin America, T and D LA 2020 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
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_ |
1803649946506756096 |