A personalized network-aware price design for electric vehicle charging using a sequential Stackelberg game

Rui Cheng, Gengming Liu, Wenxia Liu, Qingxin Shi and Qifang Chen

Applied Energy, 2025, vol. 381, issue C, No S0306261924025297

Abstract: This study develops a personalized network-aware price design for electric vehicle (EV) charging in an unbalanced distribution network to achieve the social welfare maximization while respecting distribution network constraints. Under this price design, the independent distribution system operator (IDSO), as the leader, and aggregators, as followers, engage in a sequential Stackelberg game to determine the personalized network-aware retail price profiles and the EV charging schedules for customers. This design integrates not only network-level constraints, including peak demand limits, voltage limits, and line congestion limits, into the personalized network-aware retail price profiles, but also customer-level personalized preference, attribute and locational information, leading to an informative structure of those retail price profiles. Finally, the convergence and optimality properties of this design, based on the fast dual decomposition algorithm, are established.

Keywords: Electric vehicle; Personalized network-aware price design; Sequential Stacklberg game; Unbalanced distribution network (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0306261924025297
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:appene:v:381:y:2025:i:c:s0306261924025297

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/bibliographic
http://www.elsevier. ... 405891/bibliographic

DOI: 10.1016/j.apenergy.2024.125145

Access Statistics for this article

Applied Energy is currently edited by J. Yan

More articles in Applied Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().