Fair and Scalable Electric Vehicle Charging Under Electrical Grid Constraints
The increasing penetration of electric vehicles brings a consequent increase in charging facilities in the low-voltage electricity network. Serving all charging requests on-demand can endanger the safety of the electrical power distribution network. This creates the issue of fairly allocating the charging energy among electric vehicles while maintaining the system within safe operational margins. However, calculating efficient charging schedules for the charging stations bears a high computational burden due to the non-convexities of charging stations’ models. In this paper, the authors consider a tri-level system with electric vehicles, charging stations, and a power distribution system operator. The objective of each station is formulated as a max-min fairness, mixed-integer linear optimization problem, while the network constraints are modeled using a second-order conic formulation. In order to tackle the computational complexity of the problem, they decompose it and use a novel approximation method tailored to this problem. They compare the performance of the proposed method with that of the popular alternating direction method of multipliers. Their simulation results indicate that the proposed method achieves a near-optimal solution along with promising scalability properties.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/oclc/41297384
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Supplemental Notes:
- Copyright © 2023, IEEE.
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Authors:
- Tsaousoglou, Georgios
- Giraldo, Juan S
- Pinson, Pierre
- Paterakis, Nikolaos G
- Publication Date: 2023-12
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 15169-15177
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Serial:
- IEEE Transactions on Intelligent Transportation Systems
- Volume: 24
- Issue Number: 12
- Publisher: Institute of Electrical and Electronics Engineers (IEEE)
- ISSN: 1524-9050
- Serial URL: http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6979
Subject/Index Terms
- TRT Terms: Algorithms; Electric power transmission; Electric vehicle charging; Low voltage; Schedules
- Subject Areas: Data and Information Technology; Energy; Highways; Vehicles and Equipment;
Filing Info
- Accession Number: 01913307
- Record Type: Publication
- Files: TRIS
- Created Date: Mar 29 2024 10:02AM