Logo: to the web site of Uppsala University

uu.sePublications from Uppsala University
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association
  • 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
Peak Shaving for Electric Vehicle Charging Infrastructure: A Case Study in a Parking Garage in Uppsala, Sweden
Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Electrical Engineering, Electricity.ORCID iD: 0000-0002-1787-5669
Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Electrical Engineering, Electricity.ORCID iD: 0000-0003-4090-8622
Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Electrical Engineering, Electricity.ORCID iD: 0000-0002-5414-8401
Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Electrical Engineering, Electricity.
2022 (English)In: World Electric Vehicle Journal, E-ISSN 2032-6653, Vol. 13, no 8, article id 152Article in journal (Refereed) Published
Abstract [en]

The need for a more flexible usage of power is increasing due to the electrification of new sectors in society combined with larger amounts of integrated intermittent electricity production in the power system. Among other cities, Uppsala in Sweden is undergoing an accelerated transition of its vehicle fleet from fossil combustion engines to electrical vehicles. To meet the requirements of the transforming mobility infrastructure, Uppsala municipality has, in collaboration with Uppsala University, built a full-scale commercial electrical vehicle parking garage equipped with a battery storage and photovoltaic system. This paper presents the current hardware topology of the parking garage, a neural network for day-ahead predictions of the parking garage’s load profile, and a simulation model in MATLAB using rule-based peak shaving control. The created neural network was trained on data from 2021 and its performance was evaluated using data from 2022. The performance of the rule-based peak shaving control was evaluated using the predicted load demand and photovoltaic data collected for the parking garage. The aim of this paper is to test a prediction model and peak shaving strategy that could be implemented in practice on-site at the parking garage. The created neural network has a linear regression index of 0.61, which proved to yield a satisfying result when used in the rule-based peak shaving control with the parking garage’s 60 kW/137 kWh battery system. The peak shaving model was able to reduce the highest load demand peak of 117 kW by 38.6% using the forecast of a neural network.

Place, publisher, year, edition, pages
MDPI, 2022. Vol. 13, no 8, article id 152
Keywords [en]
battery energy storage system, peak shaving, photovoltaic, rule-based, neural network, Dansmästaren
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Engineering Science with specialization in Electronics
Identifiers
URN: urn:nbn:se:uu:diva-482051DOI: 10.3390/wevj13080152ISI: 000848288200001OAI: oai:DiVA.org:uu-482051DiVA, id: diva2:1688459
Funder
Swedish Energy Agency, 2019-03066SweGRIDS - Swedish Centre for Smart Grids and Energy Storage, FPS24Vattenfall ABAvailable from: 2022-08-18 Created: 2022-08-18 Last updated: 2024-09-12Bibliographically approved
In thesis
1. From Parking to Power: Integrating an Energy Management System in a Multifunctional Building to Enable E-mobility
Open this publication in new window or tab >>From Parking to Power: Integrating an Energy Management System in a Multifunctional Building to Enable E-mobility
2024 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

E-mobility is pivotal in enabling sustainable and technologically advanced urban environments. In line with this, Sweden's electric vehicle fleet is rapidly expanding, thereby increasing the power necessary for charging electric vehicles. If not properly managed and controlled, this increase in power can potentially threaten grid stability and exacerbate grid congestion. 

The primary aim of this thesis was to assess and investigate the potential of a next-generation parking facility at a multifunctional building to be an active part of the city’s distribution grid. The research was guided by the question of to what capacity smart control of a parking facility with a technical system could assist and alter the load demand to generate benefits for both the building and the city’s distribution grid.

This was investigated at Dansmästaren, the first multifunctional building in Uppsala, Sweden. An experimental setup with an electric vehicle charging station and an energy management system was developed at the Ångström laboratory to test and verify control strategies before their implementation at the multifunctional building's parking facility. Thereafter, a second energy management system was developed and implemented at Dansmästaren with the purpose of monitoring and controlling the electric vehicle charging at the parking facility.

The findings of the included papers were divided into two categories. The charging of the electric vehicles can either be assisted by the parking facility's technical system or altered by including the electric vehicle charging in the control for the technical system. Both categories show that a parking facility with a technical system in a multifunctional building can help reduce local grid demand while also providing local benefits for the building.

While the contribution of a single multifunctional building may appear negligible from a grid perspective, the cumulative effect becomes substantial when applied across multiple buildings. Thus, the parking facility at Dansmästaren has the potential to play an active role in the city’s distribution grid through smart charging and the utilization of an energy management system.

Place, publisher, year, edition, pages
Uppsala: Acta Universitatis Upsaliensis, 2024. p. 82
Series
Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology, ISSN 1651-6214 ; 2449
Keywords
Peak shaving, Negative correlation, Mobility house, Genetic algorithm, Dansmästaren, Multifunctional building, E-mobility
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Engineering Science with specialization in Science of Electricity
Identifiers
urn:nbn:se:uu:diva-538089 (URN)978-91-513-2229-2 (ISBN)
Public defence
2024-11-01, 101121, Sonja Lyttkens, Ångström, Lägerhyddsvägen 1, Uppsala, 09:15 (English)
Opponent
Supervisors
Available from: 2024-10-08 Created: 2024-09-12 Last updated: 2024-10-08

Open Access in DiVA

fulltext(2764 kB)1040 downloads
File information
File name FULLTEXT01.pdfFile size 2764 kBChecksum SHA-512
467eea7fcdcf8969b8221a26356953da4fd0633ce7de04780333aa6c0e513c8da4c66569cd78c5ff519e882362dfd10da96d4a4d2ab687487d62db07adb96ea8
Type fulltextMimetype application/pdf

Other links

Publisher's full text

Authority records

Wallberg, AlexanderFlygare, CarlWaters, RafaelCastellucci, Valeria

Search in DiVA

By author/editor
Wallberg, AlexanderFlygare, CarlWaters, RafaelCastellucci, Valeria
By organisation
Electricity
In the same journal
World Electric Vehicle Journal
Other Electrical Engineering, Electronic Engineering, Information Engineering

Search outside of DiVA

GoogleGoogle Scholar
Total: 1045 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 796 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association
  • 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