Optimal Coordination of PV Active Power Curtailment and EVs Charging among Aggregators

With the growing adoption of electric vehicles (EVs) and residential photovoltaic (PV) systems around the world, the distribution system operators (DSOs) are facing several technical challenges on their network planning and operation, particularly on low-voltage grids. As the aggregators are interme...

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Autores: Cortés Borray, Andrés Felipe, Merino Fernández, Julia, Torres Iglesias, Esther, Mazón Sainz-Maza, Angel Javier
Tipo de recurso: artículo
Fecha de publicación:2020
País:España
Institución:Universidad del País Vasco
Repositorio:Addi. Archivo Digital para la Docencia y la Investigación
OAI Identifier:oai:addi.ehu.eus:10810/47530
Acceso en línea:http://hdl.handle.net/10810/47530
Access Level:acceso abierto
Palabra clave:active power curtailment
electric vehicles
linear programming
low voltage network
photovoltaic systems
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spelling Optimal Coordination of PV Active Power Curtailment and EVs Charging among AggregatorsCortés Borray, Andrés FelipeMerino Fernández, JuliaTorres Iglesias, EstherMazón Sainz-Maza, Angel Javieractive power curtailmentelectric vehicleslinear programminglow voltage networkphotovoltaic systemsWith the growing adoption of electric vehicles (EVs) and residential photovoltaic (PV) systems around the world, the distribution system operators (DSOs) are facing several technical challenges on their network planning and operation, particularly on low-voltage grids. As the aggregators are intermediary actors at that system level, they are a promising figure to coordinate these devices in an aggregated manner to help to mitigate adverse effects like overloading of network assets. However, to do so, proper coordination techniques among these entities and the DSO should be developed to avoid further investments in new network assets. In this context, a centralised coordination strategy among aggregators at the DSO level is proposed. By employing a linear programming model, the optimal export limit of PV and charging profile for each aggregator is dictated by the DSO, maintaining the operational limits of the network assets. A case study on two aggregators with moderate and critical penetration levels was carried out. Results show that, by controlling the aggregated export limit of PV power and the aggregated charging rate of EVs, high penetration levels can be integrated into current networks with minor or no need for reinforcing network infrastructure.This work was supported by TECNALIA funding through its PhD scholarship program.MDPI2020202020202020info:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10810/47530reponame:Addi. Archivo Digital para la Docencia y la Investigacióninstname:Universidad del País VascoIngléshttps://www.mdpi.com/2076-3417/10/20/7176/htminfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/3.0/es/2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).oai:addi.ehu.eus:10810/475302026-06-18T09:23:17Z
dc.title.none.fl_str_mv Optimal Coordination of PV Active Power Curtailment and EVs Charging among Aggregators
title Optimal Coordination of PV Active Power Curtailment and EVs Charging among Aggregators
spellingShingle Optimal Coordination of PV Active Power Curtailment and EVs Charging among Aggregators
Cortés Borray, Andrés Felipe
active power curtailment
electric vehicles
linear programming
low voltage network
photovoltaic systems
title_short Optimal Coordination of PV Active Power Curtailment and EVs Charging among Aggregators
title_full Optimal Coordination of PV Active Power Curtailment and EVs Charging among Aggregators
title_fullStr Optimal Coordination of PV Active Power Curtailment and EVs Charging among Aggregators
title_full_unstemmed Optimal Coordination of PV Active Power Curtailment and EVs Charging among Aggregators
title_sort Optimal Coordination of PV Active Power Curtailment and EVs Charging among Aggregators
dc.creator.none.fl_str_mv Cortés Borray, Andrés Felipe
Merino Fernández, Julia
Torres Iglesias, Esther
Mazón Sainz-Maza, Angel Javier
author Cortés Borray, Andrés Felipe
author_facet Cortés Borray, Andrés Felipe
Merino Fernández, Julia
Torres Iglesias, Esther
Mazón Sainz-Maza, Angel Javier
author_role author
author2 Merino Fernández, Julia
Torres Iglesias, Esther
Mazón Sainz-Maza, Angel Javier
author2_role author
author
author
dc.subject.none.fl_str_mv active power curtailment
electric vehicles
linear programming
low voltage network
photovoltaic systems
topic active power curtailment
electric vehicles
linear programming
low voltage network
photovoltaic systems
description With the growing adoption of electric vehicles (EVs) and residential photovoltaic (PV) systems around the world, the distribution system operators (DSOs) are facing several technical challenges on their network planning and operation, particularly on low-voltage grids. As the aggregators are intermediary actors at that system level, they are a promising figure to coordinate these devices in an aggregated manner to help to mitigate adverse effects like overloading of network assets. However, to do so, proper coordination techniques among these entities and the DSO should be developed to avoid further investments in new network assets. In this context, a centralised coordination strategy among aggregators at the DSO level is proposed. By employing a linear programming model, the optimal export limit of PV and charging profile for each aggregator is dictated by the DSO, maintaining the operational limits of the network assets. A case study on two aggregators with moderate and critical penetration levels was carried out. Results show that, by controlling the aggregated export limit of PV power and the aggregated charging rate of EVs, high penetration levels can be integrated into current networks with minor or no need for reinforcing network infrastructure.
publishDate 2020
dc.date.none.fl_str_mv 2020
2020
2020
2020
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/10810/47530
url http://hdl.handle.net/10810/47530
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv https://www.mdpi.com/2076-3417/10/20/7176/htm
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by/3.0/es/
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/3.0/es/
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:Addi. Archivo Digital para la Docencia y la Investigación
instname:Universidad del País Vasco
instname_str Universidad del País Vasco
reponame_str Addi. Archivo Digital para la Docencia y la Investigación
collection Addi. Archivo Digital para la Docencia y la Investigación
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.300719

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