Optimal operation of renewable-powered EV charging stations

This master’s thesis focuses on the development and evaluation of smart charging strategies for electric vehicles (EVs) in workplace settings. The objective is to optimize the charging process and support the integration of EVs into the energy system. The thesis begins by analyzing real-world EV cha...

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Detalles Bibliográficos
Autor: Moreno Yerro, Miguel
Tipo de recurso: tesis de maestría
Fecha de publicación:2023
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/396374
Acceso en línea:https://hdl.handle.net/2117/396374
Access Level:acceso abierto
Palabra clave:Battery charging stations (Electric vehicles) -- Bornholm (Denmark) -- Planning
Photovoltaic power systems -- Bornholm (Denmark) -- Design and construction -- Mathematical models
Battery charging stations (Electric vehicles) -- Energy consumption -- Forecasting
Estacions de càrrega (Vehicles elèctrics) -- Bornholm (Dinamarca) -- Planificació
Instal·lacions fotovoltaiques -- Bornholm (Dinamarca) -- Disseny i construcció -- Models matemàtics
Estacions de càrrega (Vehicles elèctrics) -- Consum d'energia -- Previsió
Àrees temàtiques de la UPC::Energies::Energia solar fotovoltaica::Instal·lacions solars de baixa potència connectades a la xarxa
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spelling Optimal operation of renewable-powered EV charging stationsMoreno Yerro, MiguelBattery charging stations (Electric vehicles) -- Bornholm (Denmark) -- PlanningPhotovoltaic power systems -- Bornholm (Denmark) -- Design and construction -- Mathematical modelsBattery charging stations (Electric vehicles) -- Energy consumption -- ForecastingEstacions de càrrega (Vehicles elèctrics) -- Bornholm (Dinamarca) -- PlanificacióInstal·lacions fotovoltaiques -- Bornholm (Dinamarca) -- Disseny i construcció -- Models matemàticsEstacions de càrrega (Vehicles elèctrics) -- Consum d'energia -- PrevisióÀrees temàtiques de la UPC::Energies::Energia solar fotovoltaica::Instal·lacions solars de baixa potència connectades a la xarxaThis master’s thesis focuses on the development and evaluation of smart charging strategies for electric vehicles (EVs) in workplace settings. The objective is to optimize the charging process and support the integration of EVs into the energy system. The thesis begins by analyzing real-world EV charging data from workplace charging stations, which provides insights into charging patterns and user behavior. These patterns are then used to design and test various smart charging strategies that utilize renewable resources and minimize costs. The simulations and evaluations are conducted in a specific reference location, a school on the island of Bornholm, Denmark, which has an existing photovoltaic installation. The charging strategies are divided into unidirectional models that incorporate two charging sources, a photovoltaic installation and the power grid, and a bi-directional smart charging model that also enables direct charging between EVs. The results of the simulations reveal several important findings. Workplace charging stations experience high charging activity in the early morning hours, followed by a more consistent pattern throughout the day. The most common charging power level is found to be 3.7 kW, and idle times of 4-8 hours are prevalent, indicating opportunities for the implementation of smart charging strategies. The performance of the charging strategies is evaluated under different scenarios, considering factors such as the price profile of the day-ahead market and the availability of renewable resources. The simulations demonstrate that no single strategy is optimal for all situations. The bidirectional vehicle-to-vehicle (V2V) strategy becomes attractive in scenarios with strong cannibalization of renewable energies, allowing for energy transfer between vehicles during expensive hours. Strategy 3, which effectively utilizes abundant solar resources and prioritizes charging based on vehicle urgency irrespective of power prices, demonstrates excellent performance in scenarios with ample solar availability. Strategy 4, which takes advantage of cheap market periods while maximizing PV energy absorption, is beneficial in scenarios without significant cannibalization and limited PV production. Overall, the simulations highlight the significant advantages of smart charging strategies compared to dumb modelsUniversitat Politècnica de CatalunyaPérez González, Juan Jesús20232023-10-0320232023-11-14master thesishttp://purl.org/coar/resource_type/c_bdccNAhttp://purl.org/coar/version/c_be7fb7dd8ff6fe43info:eu-repo/semantics/masterThesisapplication/pdfhttps://hdl.handle.net/2117/396374reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2http://creativecommons.org/licenses/by-nc-nd/3.0/es/info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/3963742026-05-27T15:37:01Z
dc.title.none.fl_str_mv Optimal operation of renewable-powered EV charging stations
title Optimal operation of renewable-powered EV charging stations
spellingShingle Optimal operation of renewable-powered EV charging stations
Moreno Yerro, Miguel
Battery charging stations (Electric vehicles) -- Bornholm (Denmark) -- Planning
Photovoltaic power systems -- Bornholm (Denmark) -- Design and construction -- Mathematical models
Battery charging stations (Electric vehicles) -- Energy consumption -- Forecasting
Estacions de càrrega (Vehicles elèctrics) -- Bornholm (Dinamarca) -- Planificació
Instal·lacions fotovoltaiques -- Bornholm (Dinamarca) -- Disseny i construcció -- Models matemàtics
Estacions de càrrega (Vehicles elèctrics) -- Consum d'energia -- Previsió
Àrees temàtiques de la UPC::Energies::Energia solar fotovoltaica::Instal·lacions solars de baixa potència connectades a la xarxa
title_short Optimal operation of renewable-powered EV charging stations
title_full Optimal operation of renewable-powered EV charging stations
title_fullStr Optimal operation of renewable-powered EV charging stations
title_full_unstemmed Optimal operation of renewable-powered EV charging stations
title_sort Optimal operation of renewable-powered EV charging stations
dc.creator.none.fl_str_mv Moreno Yerro, Miguel
author Moreno Yerro, Miguel
author_facet Moreno Yerro, Miguel
author_role author
dc.contributor.none.fl_str_mv Pérez González, Juan Jesús
dc.subject.none.fl_str_mv Battery charging stations (Electric vehicles) -- Bornholm (Denmark) -- Planning
Photovoltaic power systems -- Bornholm (Denmark) -- Design and construction -- Mathematical models
Battery charging stations (Electric vehicles) -- Energy consumption -- Forecasting
Estacions de càrrega (Vehicles elèctrics) -- Bornholm (Dinamarca) -- Planificació
Instal·lacions fotovoltaiques -- Bornholm (Dinamarca) -- Disseny i construcció -- Models matemàtics
Estacions de càrrega (Vehicles elèctrics) -- Consum d'energia -- Previsió
Àrees temàtiques de la UPC::Energies::Energia solar fotovoltaica::Instal·lacions solars de baixa potència connectades a la xarxa
topic Battery charging stations (Electric vehicles) -- Bornholm (Denmark) -- Planning
Photovoltaic power systems -- Bornholm (Denmark) -- Design and construction -- Mathematical models
Battery charging stations (Electric vehicles) -- Energy consumption -- Forecasting
Estacions de càrrega (Vehicles elèctrics) -- Bornholm (Dinamarca) -- Planificació
Instal·lacions fotovoltaiques -- Bornholm (Dinamarca) -- Disseny i construcció -- Models matemàtics
Estacions de càrrega (Vehicles elèctrics) -- Consum d'energia -- Previsió
Àrees temàtiques de la UPC::Energies::Energia solar fotovoltaica::Instal·lacions solars de baixa potència connectades a la xarxa
description This master’s thesis focuses on the development and evaluation of smart charging strategies for electric vehicles (EVs) in workplace settings. The objective is to optimize the charging process and support the integration of EVs into the energy system. The thesis begins by analyzing real-world EV charging data from workplace charging stations, which provides insights into charging patterns and user behavior. These patterns are then used to design and test various smart charging strategies that utilize renewable resources and minimize costs. The simulations and evaluations are conducted in a specific reference location, a school on the island of Bornholm, Denmark, which has an existing photovoltaic installation. The charging strategies are divided into unidirectional models that incorporate two charging sources, a photovoltaic installation and the power grid, and a bi-directional smart charging model that also enables direct charging between EVs. The results of the simulations reveal several important findings. Workplace charging stations experience high charging activity in the early morning hours, followed by a more consistent pattern throughout the day. The most common charging power level is found to be 3.7 kW, and idle times of 4-8 hours are prevalent, indicating opportunities for the implementation of smart charging strategies. The performance of the charging strategies is evaluated under different scenarios, considering factors such as the price profile of the day-ahead market and the availability of renewable resources. The simulations demonstrate that no single strategy is optimal for all situations. The bidirectional vehicle-to-vehicle (V2V) strategy becomes attractive in scenarios with strong cannibalization of renewable energies, allowing for energy transfer between vehicles during expensive hours. Strategy 3, which effectively utilizes abundant solar resources and prioritizes charging based on vehicle urgency irrespective of power prices, demonstrates excellent performance in scenarios with ample solar availability. Strategy 4, which takes advantage of cheap market periods while maximizing PV energy absorption, is beneficial in scenarios without significant cannibalization and limited PV production. Overall, the simulations highlight the significant advantages of smart charging strategies compared to dumb models
publishDate 2023
dc.date.none.fl_str_mv 2023
2023-10-03
2023
2023-11-14
dc.type.none.fl_str_mv master thesis
http://purl.org/coar/resource_type/c_bdcc
NA
http://purl.org/coar/version/c_be7fb7dd8ff6fe43
dc.type.openaire.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/396374
url https://hdl.handle.net/2117/396374
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2

http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2

http://creativecommons.org/licenses/by-nc-nd/3.0/es/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universitat Politècnica de Catalunya
publisher.none.fl_str_mv Universitat Politècnica de Catalunya
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,301603

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