kth.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Probabilistic evaluation of plug-in electric vehicles impacts on the steady-state performance of a distribution network in Stockholm
KTH, School of Industrial Engineering and Management (ITM), Energy Technology, Heat and Power Technology. (Distributed Energy Resources and Smart Energy Networks)ORCID iD: 0000-0001-5930-6934
KTH, School of Industrial Engineering and Management (ITM), Energy Technology, Heat and Power Technology.ORCID iD: 0000-0002-8888-4474
2023 (English)In: 27th International Conference on Electricity Distribution (CIRED 2023), 2023, p. 1070-1074Conference paper, Published paper (Refereed)
Abstract [en]

Sweden is at the forefront of the energy transition to reach carbon neutrality by 2045. Within this context, electric vehicles (EVs) are the most promising solution to lead the transport sector towards fossil freedom. However, while on the transport side, high integration of EVs is a positive step to meeting the energy transition goals, the expansion of electric mobility presents challenges for operators of electric power distribution systems (DS) due to the increased power demand that these vehicles will generate. This work focuses on analyzing the impact of increased shares of plug-in EVs (PEVs) at the low voltage (LV) level. For this, a case study is developed analyzing the effects of PEVs charging on the local 400V DS in Lidingö, Stockholm County. Steady-state power flow analysis for different loading scenarios was performed on a digital twin of the local DS and the different scenarios were built and ran based on stochastic variables involved in the PEVs charging behavior using local empirical dataset. The results obtained for the system studied show that PEV penetration levels (Pl) equal to or greater than 30% could become a concern for the existing systems due to the increase in power demand, specifically on the aggregated peak power. Furthermore, these results provided insights into how to identify possible limitations, bottlenecks, PEV hosting capacity and capacity shortages in the network and can be applied to different DS, which can help the local distribution system operator (DSO) planning for the energy infrastructure for the future.

Place, publisher, year, edition, pages
2023. p. 1070-1074
Series
Electronic ISBN ; 978-1-83953-855-1
Keywords [en]
Power system, Electric vehicles, Power quality, Distribution networks
National Category
Energy Systems Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Electrical Engineering; Transport Science, Transport Systems; Energy Technology
Identifiers
URN: urn:nbn:se:kth:diva-342402DOI: 10.1049/icp.2023.0629Scopus ID: 2-s2.0-85181540589OAI: oai:DiVA.org:kth-342402DiVA, id: diva2:1828918
Conference
27th International Conference on Electricity Distribution, CIRED 2023, Rome, Italy, Jun 12 2023 - Jun 15 2023
Note

QC 20241023

Part of ISBN 978-1-83953-855-1

Available from: 2024-01-17 Created: 2024-01-17 Last updated: 2024-10-23Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Costa Nascimento, PriscilaTopel, Monika

Search in DiVA

By author/editor
Costa Nascimento, PriscilaTopel, Monika
By organisation
Heat and Power Technology
Energy SystemsOther Electrical Engineering, Electronic Engineering, Information Engineering

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 104 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf