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Urban power load profiles under ageing transition integrated with future EVs charging
Mälardalen University, School of Business, Society and Engineering, Future Energy Center. The University of Tokyo 5-1-5 Kashiwanoha, Kashiwa-shi, Japan.ORCID iD: 0000-0002-4641-0641
The University of Tokyo 5-1-5 Kashiwanoha, Kashiwa-shi, Japan.
North China Electric Power University, Beijing, China.
Southern University of Science and Technology(SUSTech), Shenzhen, China.ORCID iD: 0000-0003-4042-7888
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2021 (English)In: Advances in Applied Energy, ISSN 2666-7924, Vol. 1, p. 100007-100007, article id 100007Article in journal (Refereed) Published
Abstract [en]

Understanding ageing transition caused fine-grained changes of electricity profile is the significant insight for coping with future threatens in grid flexibility management. The research gaps for the hourly-basis knowledge exist due to challenges in microanalysis on user-side behavior. Based on billions of users’ behavior data, we investigated the changes on the load profiles due to population aging. We found that owing to ageing transition, the participation population in high electricity-density activities decreases by about 8%. The corresponding shift in driving behavior rises the 14% difference between peak charging load and valley. We concluded that population aging will dramatically change both the magnitude and shape of future dynamic-load profiles. Therefore, we further suggested a new solution with comprehensive and quantitative management for PVs development and the smart charging market with smooth operation of the grid in coupling the potential challenges caused by the ageing issue.

Place, publisher, year, edition, pages
2021. Vol. 1, p. 100007-100007, article id 100007
Keywords [en]
Power load profile; Energy consumption; Ageing society; EV charging
National Category
Energy Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-57207DOI: 10.1016/j.adapen.2020.100007ISI: 001022686200007Scopus ID: 2-s2.0-85101198631OAI: oai:DiVA.org:mdh-57207DiVA, id: diva2:1634522
Available from: 2022-02-02 Created: 2022-02-02 Last updated: 2023-12-04Bibliographically approved

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Zhang, HaoranYan, Jinyue

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