LAPSE:2023.3987
Published Article
LAPSE:2023.3987
Integration of Electric Vehicles into the Electric Power System Based on Results of Road Traffic Census
Yumiko Iwafune, Kazuhiko Ogimoto, Hitoshi Azuma
February 22, 2023
Abstract
We propose a model for the integration of electric vehicles (EVs) into the grid power system in Japan. The potential of the switchover from conventional vehicles to EVs and the incurred charging loads for the EV fleet were evaluated based on the results of a Japanese road traffic census. Furthermore, an EV battery operation model was incorporated into the production cost analysis model, which is capable of determining the optimal electricity supply and demand, considering the existing interconnector power flows. The potential economic and environmental contributions of EV charge and discharge controls, with the ultimate goal of realizing the introduction of a massive renewable energy source in the future, were also evaluated. We found that EVs can greatly contribute to expanding the use of renewable energy and reducing system cost by charging and discharging not only at the owner’s home but also at his/her workplace.
Keywords
demand response, electric vehicle integration, production cost model, road traffic census survey
Suggested Citation
Iwafune Y, Ogimoto K, Azuma H. Integration of Electric Vehicles into the Electric Power System Based on Results of Road Traffic Census. (2023). LAPSE:2023.3987
Author Affiliations
Iwafune Y: Energy System Integration Social Cooperation Program, Institute of Industrial Science, University of Tokyo, Komaba 4-6-1, Meguro-ku, Tokyo 153-8505, Japan
Ogimoto K: Energy System Integration Social Cooperation Program, Institute of Industrial Science, University of Tokyo, Komaba 4-6-1, Meguro-ku, Tokyo 153-8505, Japan
Azuma H: JPBS Business Service, Fukagawa 2-2-18, Koto-ku, Tokyo 135-8451, Japan
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Journal Name
Energies
Volume
12
Issue
10
Article Number
E1849
Year
2019
Publication Date
2019-05-15
ISSN
1996-1073
Version Comments
Original Submission
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PII: en12101849, Publication Type: Journal Article
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LAPSE:2023.3987
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https://doi.org/10.3390/en12101849
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Feb 22, 2023
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