WFRF:(Qian Kun)
Search: WFRF:(Qian Kun) > (2020-2024) > Large-scale EV char...
- 6 of 13
- Previous record
- Next record
- To hitlist
Large-scale EV charging scheduling considering on-site PV generation by combining an aggregated model and sorting-based methods
-
- Qian, Kun (author)
- Department of Mechanical and Electrical Engineering, Centre for Industrial Electronics (CIE), University of Southern Denmark, Sønderborg, Denmark
-
- Fachrizal, Reza, 1993- (author)
- Mälardalens universitet,Framtidens energi
-
- Munkhammar, Joakim (author)
- Department of Civil and Industrial Engineering, Uppsala University, Sweden
- show more...
- show less...
- (creator_code:org_t)
- Elsevier, 2024
- 2024
- English.
- In: Sustainable cities and society. - : Elsevier. - 2210-6707. ; 107
- Journal article (peer-reviewed)
Abstract
Subject headings
Close
- Large-scale electric vehicle (EV) charging scheduling is highly relevant for the growing number of EVs, while it can be complex to solve. A few existing studies have applied a two-stage scheduling approach to reduce computation time. The first stage approximates the optimal overall load, and the second prioritizes the charging. This work also attempts to apply such an approach for large-scale EV charging considering on-site photovoltaic (PV) generation at a workplace. However, validation and analysis are missing to address whether and why the two-stage approach is suitable. Besides, the existing studies lack exploring different methods to prioritize charging. This work investigates the two-stage approach. Simulation results show the non-uniqueness of the optimal solution from the optimal individual model, and guided by the optimal overall load, sorting-based methods can often lead to an optimal solution, while non-optimal solutions only cause decreases in the load-matching performance with a median value of less than 1%. The aggregated model usually cannot achieve the optimal overall load due to model simplifications. However, further applying sorting-based methods will reduce the differences between the final and the optimal overall load. Thus, the two-stage approach is suitable for this study, and further simulations show that it can achieve almost the optimal annual performance with around 1/57 of the computation time. Furthermore, this study explores different methods to prioritize charging. Simulation results show no difference in performance, while the Least Laxity First method leads to around 54.6% more switching.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Naturresursteknik -- Energisystem (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Environmental Engineering -- Energy Systems (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Maskinteknik -- Energiteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Mechanical Engineering -- Energy Engineering (hsv//eng)
- NATURVETENSKAP -- Matematik -- Beräkningsmatematik (hsv//swe)
- NATURAL SCIENCES -- Mathematics -- Computational Mathematics (hsv//eng)
Keyword
- Electric vehicle charging
- Photovoltaic-powered charging stations
- Optimal load matching
- Large-scale scheduling
- Aggregated model
- Energy- and Environmental Engineering
- energi- och miljöteknik
Publication and Content Type
- ref (subject category)
- art (subject category)
Find in a library
- Sustainable cities and society (Search for host publication in LIBRIS)
To the university's database
- 6 of 13
- Previous record
- Next record
- To hitlist
Find more in SwePub
- By the author/editor
- Qian, Kun
- Fachrizal, Reza, ...
- Munkhammar, Joak ...
- Ebel, Thomas
- Adam, Rebecca
- About the subject
-
- ENGINEERING AND TECHNOLOGY
- ENGINEERING AND ...
- and Environmental En ...
- and Energy Systems
-
- ENGINEERING AND TECHNOLOGY
- ENGINEERING AND ...
- and Mechanical Engin ...
- and Energy Engineeri ...
-
- NATURAL SCIENCES
- NATURAL SCIENCES
- and Mathematics
- and Computational Ma ...
- Articles in the publication
- Sustainable citi ...
- By the university
- Mälardalen University
Search outside SwePub
- Extend your search to:
- Google Book Search
- Google Scholar
Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.
- Copyright © LIBRIS - National Library Systems
- LIBRIS.kb.se
