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Increasing the photovoltaic self-consumption and reducing peak loads in residential buildings with electric vehicle smart charging
Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Applied Mechanics, Byggteknik. (Built Environment Energy Systems Group)
Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Applied Mechanics, Byggteknik. (Built Environment Energy Systems Group)ORCID iD: 0000-0003-0051-4098
2019 (English)Conference paper, Published paper (Other academic)
Abstract [en]

This paper presents an electric vehicle (EV) smart charging scheme at residential buildings based on installed photovoltaic (PV) output and household electricity consumption. The proposed EV charging scheme is designed to determine the optimal EV charging schedules for the purpose of minimizing the load variance or flattening the load profile. When the net-load is taken into account in the smart charging scheme, not only the peak load can be reduced, but also the PV self-consumption in the building can be increased. The charging scheduling problem is formulated and solved with a quadratic programming approach. The departure and arrival time and the distance covered by vehicle in each trip are specifically modelled based on available statistic data from Swedish travel survey. The scheme is applied on simulated typical Swedish detached houses without electric heating. The aggregation of distributed smart charging in multiple housesis conducted and compared to the smart charging in a single house. Numerical results are presented to show the effectiveness of the proposed smart charging scheme. Positive results on both the PV self-consumption and the peak load reduction are achieved.

Place, publisher, year, edition, pages
Dublin, Ireland, 2019.
Keywords [en]
electric vehicles, photovoltaic, electricity consumption, smart charging, self-consumption, peak load reduction, residential buildings
National Category
Energy Systems Civil Engineering
Research subject
Engineering Science with specialization in Civil Engineering and Built Environment
Identifiers
URN: urn:nbn:se:uu:diva-396095ISBN: 978-3-9820080-3-5 (print)OAI: oai:DiVA.org:uu-396095DiVA, id: diva2:1366671
Conference
3rd E-Mobility Power System Integration Symposium, Dublin, October 14, 2019
Available from: 2019-10-30 Created: 2019-10-30 Last updated: 2019-11-20

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Fachrizal, RezaMunkhammar, Joakim

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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Language
  • de-DE
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Output format
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  • text
  • asciidoc
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