Probabilistic analysis to assess the impact of the charge of electric vehicles on distribution grids under normal operation

The incorporation of high levels of small-scale non-dispatchable distributed generation is leading to the transition from the traditional 'vertical' power system structure to a 'horizontally-operated' power system, where the distribution networks contain both stochastic generatio...

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Autor: Valsera Naranjo, Eduardo
Tipo de recurso: tesis doctoral
Estado:Versión publicada
Fecha de publicación:2014
País:España
Institución:CBUC, CESCA
Repositorio:TDR. Tesis Doctorales en Red
OAI Identifier:oai:www.tdx.cat:10803/145251
Acceso en línea:http://hdl.handle.net/10803/145251
https://dx.doi.org/10.5821/dissertation-2117-95329
Access Level:acceso abierto
Palabra clave:621.3
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spelling Probabilistic analysis to assess the impact of the charge of electric vehicles on distribution grids under normal operationValsera Naranjo, Eduardo621.3The incorporation of high levels of small-scale non-dispatchable distributed generation is leading to the transition from the traditional 'vertical' power system structure to a 'horizontally-operated' power system, where the distribution networks contain both stochastic generation and load (such as electric vehicles recharging). This fact increases the number of stochastic inputs and dependence structures between them need to be considered. The deterministic analysis is not enough to cope with these issues and a new approach is needed. Probabilistic analysis provides a better approach. This PhD thesis describes the grid impact analysis of charging electric vehicles (EV) using charging curves with detailed battery modelling. A probabilistic method using Monte Carlo was applied to a typical Spanish distribution grid, also using mobility patterns of Barcelona. To carry out this analysis, firstly, an IEEE test system was adapted to a typical distribution grid configuration; secondly, the EV and its battery types were modeled taking into account the current vehicle market and the battery characteristics; and, finally, the recharge control strategies were taken in account. Once these main features were established, a statistical probabilistic model for the household electrical demand and for the EV charging parameters was determined. With these probabilistic models, the Monte Carlo analysis was performed within the established scenario in order to study the lines' and the transformers' loading levels. The results show that an accurate model for the battery gives a more precise estimation about the impact on the grid. Additionally, mobility patterns have been proved to be some of the most important key aspects for these type of studies.DOCTORAT EN ENGINYERIA ELÈCTRICA (Pla 2007)Universitat Politècnica de CatalunyaVillafafila Robles, RobertoSumper, AndreasUniversitat Politècnica de Catalunya. Departament d'Enginyeria Elèctrica201420142014info:eu-repo/semantics/doctoralThesisinfo:eu-repo/semantics/publishedVersion165 p.application/pdfapplication/pdfhttp://hdl.handle.net/10803/145251https://dx.doi.org/10.5821/dissertation-2117-95329TDX (Tesis Doctorals en Xarxa)reponame:TDR. Tesis Doctorales en Redinstname:CBUC, CESCAInglésADVERTIMENT. L'accés als continguts d'aquesta tesi doctoral i la seva utilització ha de respectar els drets de la persona autora. Pot ser utilitzada per a consulta o estudi personal, així com en activitats o materials d'investigació i docència en els termes establerts a l'art. 32 del Text Refós de la Llei de Propietat Intel·lectual (RDL 1/1996). Per altres utilitzacions es requereix l'autorització prèvia i expressa de la persona autora. En qualsevol cas, en la utilització dels seus continguts caldrà indicar de forma clara el nom i cognoms de la persona autora i el títol de la tesi doctoral. No s'autoritza la seva reproducció o altres formes d'explotació efectuades amb finalitats de lucre ni la seva comunicació pública des d'un lloc aliè al servei TDX. Tampoc s'autoritza la presentació del seu contingut en una finestra o marc aliè a TDX (framing). Aquesta reserva de drets afecta tant als continguts de la tesi com als seus resums i índexs.info:eu-repo/semantics/openAccessoai:www.tdx.cat:10803/1452512026-06-14T12:46:07Z
dc.title.none.fl_str_mv Probabilistic analysis to assess the impact of the charge of electric vehicles on distribution grids under normal operation
title Probabilistic analysis to assess the impact of the charge of electric vehicles on distribution grids under normal operation
spellingShingle Probabilistic analysis to assess the impact of the charge of electric vehicles on distribution grids under normal operation
Valsera Naranjo, Eduardo
621.3
title_short Probabilistic analysis to assess the impact of the charge of electric vehicles on distribution grids under normal operation
title_full Probabilistic analysis to assess the impact of the charge of electric vehicles on distribution grids under normal operation
title_fullStr Probabilistic analysis to assess the impact of the charge of electric vehicles on distribution grids under normal operation
title_full_unstemmed Probabilistic analysis to assess the impact of the charge of electric vehicles on distribution grids under normal operation
title_sort Probabilistic analysis to assess the impact of the charge of electric vehicles on distribution grids under normal operation
dc.creator.none.fl_str_mv Valsera Naranjo, Eduardo
author Valsera Naranjo, Eduardo
author_facet Valsera Naranjo, Eduardo
author_role author
dc.contributor.none.fl_str_mv Villafafila Robles, Roberto
Sumper, Andreas
Universitat Politècnica de Catalunya. Departament d'Enginyeria Elèctrica
dc.subject.none.fl_str_mv 621.3
topic 621.3
description The incorporation of high levels of small-scale non-dispatchable distributed generation is leading to the transition from the traditional 'vertical' power system structure to a 'horizontally-operated' power system, where the distribution networks contain both stochastic generation and load (such as electric vehicles recharging). This fact increases the number of stochastic inputs and dependence structures between them need to be considered. The deterministic analysis is not enough to cope with these issues and a new approach is needed. Probabilistic analysis provides a better approach. This PhD thesis describes the grid impact analysis of charging electric vehicles (EV) using charging curves with detailed battery modelling. A probabilistic method using Monte Carlo was applied to a typical Spanish distribution grid, also using mobility patterns of Barcelona. To carry out this analysis, firstly, an IEEE test system was adapted to a typical distribution grid configuration; secondly, the EV and its battery types were modeled taking into account the current vehicle market and the battery characteristics; and, finally, the recharge control strategies were taken in account. Once these main features were established, a statistical probabilistic model for the household electrical demand and for the EV charging parameters was determined. With these probabilistic models, the Monte Carlo analysis was performed within the established scenario in order to study the lines' and the transformers' loading levels. The results show that an accurate model for the battery gives a more precise estimation about the impact on the grid. Additionally, mobility patterns have been proved to be some of the most important key aspects for these type of studies.
publishDate 2014
dc.date.none.fl_str_mv 2014
2014
2014
dc.type.none.fl_str_mv info:eu-repo/semantics/doctoralThesis
info:eu-repo/semantics/publishedVersion
format doctoralThesis
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10803/145251
https://dx.doi.org/10.5821/dissertation-2117-95329
url http://hdl.handle.net/10803/145251
https://dx.doi.org/10.5821/dissertation-2117-95329
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 165 p.
application/pdf
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 TDX (Tesis Doctorals en Xarxa)
reponame:TDR. Tesis Doctorales en Red
instname:CBUC, CESCA
instname_str CBUC, CESCA
reponame_str TDR. Tesis Doctorales en Red
collection TDR. Tesis Doctorales en Red
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,300719

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