Resilience enhancement for power distribution networks in coordination with electric vehicle fleets
Qianyu Dong,
Guanyu Zhou,
Qilin Huang,
Zhaoyang Dong and
Youwei Jia
Applied Energy, 2025, vol. 390, issue C, No S0306261925004866
Abstract:
With the global shift towards decarbonized transportation, the adoption of company-owned electric vehicle (EV) fleets is rapidly increasing worldwide. This paper explores the potential of these EV fleets to enhance resilience in power distribution networks through strategic charging station planning and effective post-disaster restoration. Towards this end, a tri-level optimization model is proposed to tackle i) the optimal location problem for charging stations considering grid resilience, and ii) the post-disaster restoration challenge by incentivizing EV fleets for backup power provision. Specifically, multiple performance indices are proposed within the coupled network to facilitate optimal charging station deployment. In addition, an advanced choice model is constructed to analyze the behavioral tendencies of fleet operators. To resolve the proposed model, an accelerated nested column-and-constraint generation (A-NC&CG) algorithm is presented. Numerical case studies performed on two illustrative coupled networks demonstrate that the proposed model can incentivize EV fleets to enhance grid resilience cost-effectively.
Keywords: Resilience enhancement; Distribution networks; Electric vehicle fleet; Planning model (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0306261925004866
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:390:y:2025:i:c:s0306261925004866
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.2025.125756
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 ().